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Some papers on Knowledge Graph Embedding(KGE)

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KGE

Some papers on Knowledge Graph Embedding(KGE)

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Contents

Libraries

Methodologies

Traditions

Translation

Year Source Methods
2013 NeurIPS TransE
2014 AAAI TransH
2015 AAAI TransR
2015 ACL TransD
2015 EMNLP PTransE
2015 EMNLP RTransE
2015 CIKM KG2E
2016 AAAI TransA
2016 AAAI TranSparse
2016 IJCAI ManifoldE
2016 ACL TransG
2016 KR FTransE
2016 NAACL-HLT lppTransE
2016 NAACL-HLT STransE
2017 AAAI puTransE
2017 ACL ITransF
2017 CIKM TransE-RS
2017 CIKM CombinE
2018 AAAI TorusE
2018 AAAI TransAt
2018 EMNLP TransC
2019 ICLR RotatE
2019 AAAI TransGate
2019 IJCAI TransMS
2019 WSDM CrossE
2020 AAAI HAKE

Multiplication

Year Source Methods
2011 ICML RESCAL
2015 ICLR DistMult
2016 ICML ComplEx
2016 AAAI HolE
2017 ICML ANALOGY
2018 NeurIPS SimplE
2019 ACL DihEdral
2019 EMNLP TuckER

Neural Networks

Year Source Methods
2013 NeurIPS NTN
2014 KDD ER-MLP
2017 AAAI ProjE
2018 AAAI ConvE
2018 CIKM SENN
2018 ESWC R-GCN
2018 NAACL-HLT ConvKB
2018 NAACL-HLT KBGAN
2019 ICML RSN
2019 AAAI SACN
2019 IJCAI VR-GCN
2019 IJCAI M-GNN
2019 ACL KBGAT
2019 WWW ActiveLink
2019 NAACL-HLT CapsE
2019 NAACL-HLT ConvR
2019 K-CAP TransGCN
2020 ICLR CompGCN
2020 ICLR DPMPN
2020 AAAI InteractE

Informations

Path

Year Source Methods
2015 EMNLP PTransE
2015 EMNLP RTransE
2015 EMNLP TransE-COMP
2016 COLING GAKE
2017 EMNLP DeepPath
2017 CIKM TCE
2018 ICLR MINERVA
2018 EMNLP MultiHopKG
2019 ICML RSN
2019 EMNLP OPTransE
2020 AAAI RPJE

Textual

Year Source Methods
2014 EMNLP pTransE
2015 EMNLP Jointly(desp)
2016 AAAI DKRL
2016 IJCAI TEKE
2017 AAAI SSP
2017 IJCAI Jointly(A-LSTM)
2017 ACL FRN
2018 AAAI ConMask
2018 AAAI JointNRE
2018 NAACL-HLT ATE
2019 AAAI OWE
2019 IJCAI WWV
2019 EMNLP CaRe
2019 EMNLP TCVAE
2019 EMNLP CPL

Hierarchy

Year Source Methods
2016 IJCAI TKRL
2016 SIGIR HiRi
2018 AAAI TransE-T
2018 EMNLP TransE-HRS
2020 AAAI HAKE

Taxonomic

Year Source Methods
2019 AAAI SimplE+

Neighborhood

Year Source Methods
2016 NeurIPS Gaifman
2016 COLING GAKE
2017 CIKM TCE
2018 UAI KBLRN
2018 CIKM SENN
2018 ESWC R-GCN
2019 AAAI LENA
2019 AAAI LAN
2019 AAAI SACN
2019 WWW TransN
2019 EMNLP CaRe
2020 AAAI FSRL

Augmentations

Constraints

Year Source Methods
2015 ACL SSE
2018 ACL ComplEx-NNE
2019 AAAI SimplE+

Regularizers

Year Source Methods
2015 ACL SSE
2018 ICML ComplEx-N3
2018 AAAI ComplEx-L1
2019 UAI EM
2020 ICLR Teach

Soft Rules

Year Source Methods
2015 IJCAI r-TransE
2016 IJCAI ProPPR
2016 EMNLP KALE
2017 NeurIPS Neural-LP
2018 NeurIPS GQE
2018 AAAI RUGE
2019 NeurIPS DRUM
2019 AAAI UKGE
2019 IJCAI AnyBURL
2019 WWW IterE
2020 ICLR Neural-LP-N
2020 ICLR Q2B
2020 AAAI RPJE

Negative Sampling

Year Source Methods
2014 AAAI TransH
2018 AAAI IGAN
2018 NAACL-HLT KBGAN
2019 ICLR RotatE
2019 ICDE NSCaching

Emergents

Few Shot

Year Source Methods
2018 EMNLP GMatching
2019 EMNLP MetaR
2019 EMNLP TCVAE
2019 EMNLP Meta-KGR
2020 NeurIPS GEN
2020 AAAI FSRL
2020 AAAI ZSGAN
2020 EMNLP FAAN
2020 EMNLP FIRE

Hyper Planes

Year Source Methods
2016 ICML ComplEx
2018 AAAI TorusE
2019 NeurIPS QuatE
2019 NeurIPS MuRP
2019 ICLR RotatE
2020 AAAI HAKE

Graph Networks

Year Source Methods
2018 ESWC R-GCN
2019 AAAI SACN
2019 IJCAI VR-GCN
2019 ICASSP GRNN
2019 PRICAI SAGCN
2019 K-CAP TransGCN
2020 IEEE Access GAATs
2020 ICLR CompGCN
2020 ICLR DPMPN
2020 AAAI RGHAT
2020 CoRR TGCN

Temporal

Year Source Methods
2014 EMNLP CTPs
2016 EMNLP t-TransE
2016 COLING TransE-TAE
2017 ICML Know-Evolve
2017 AAAI MLNs
2018 WWW TTransE
2018 EMNLP TA-DistMult
2018 EMNLP HyTE
2019 Journal of Web Semantics ConT
2019 ICLR DyRep
2019 ICTAI Hybrid-TE
2019 WISE CATE
2020 IEEE Access TDG2E
2020 ICLR TComplEx
2020 AAAI DE-SimplE
2020 IJCAI DArtNet
2020 CoRR TIMEPLEX

Papers

Survey

  • Yoshua Bengio, Aaron C. Courville, Pascal Vincent. "Representation Learning: A Review and New Perspectives". Transactions on Pattern Analysis and Machine Intelligence 2013. paper

  • Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich. "A Review of Relational Machine Learning for Knowledge Graphs". Proceedings of the IEEE 2016. paper

  • Quan Wang, Zhendong Mao, Bin Wang, Li Guo. "Knowledge Graph Embedding: A Survey of Approaches and Applications". IEEE Transactions on Knowledge and Data Engineering 2017. paper

  • Xiaojun Chen, Shengbin Jia, Yang Xiang. "A review: Knowledge reasoning over knowledge graph". Expert Systems with Applications 2020. paper

  • HongYun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang. "A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications". IEEE Transactions on Knowledge and Data Engineering 2018. paper

  • Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart. "Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey". CoRR 2019-05. paper

  • Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu. "A Survey on Knowledge Graphs: Representation, Acquisition and Applications". CoRR 2020-02. paper

  • Andrea Rossi, Donatella Firmani, Antonio Matinata, Paolo Merialdo, Denilson Barbosa. "Knowledge Graph Embedding for Link Prediction: A Comparative Analysis". CoRR 2020-02. paper

2011

Conference

AAAI
  • (SE) Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio. "Learning Structured Embeddings of Knowledge Bases". AAAI 2011. paper 🔥
ICML
  • (RESCAL) Nickel Maximilian, Tresp Volker, Kriegel Hans-Peter. "A Three-Way Model for Collective Learning on Multi-Relational Data". ICML 2011. paper code 🔥

2012

Conference

NeurIPS
  • (LFM) Rodolphe Jenatton, Nicolas L. Roux, Antoine Bordes, Guillaume R. Obozinski. "A Latent Factor Model for Highly Multi-relational Data". NeurIPS 2012. paper 🔥

2013

Conference

NeurIPS

  • (NTN) Richard Socher, Danqi Chen, Christopher D. Manning, Andrew Y. Ng. "Reasoning With Neural Tensor Networks for Knowledge Base Completion". NeurIPS 2013. paper reviews 🔥

  • (TransE) Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko. "Translating Embeddings for Modeling Multi-relational Data". NeurIPS 2013. paper reviews 🔥

2014

Conference

AAAI
  • (TransH) Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. "Knowledge Graph Embedding by Translating on Hyperplanes". AAAI 2014. paper 🔥
EMNLP

  • (CTPs) Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell. "CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection". EMNLP 2014. paper

  • (pTransE) Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. "Knowledge Graph and Text Jointly Embedding". EMNLP 2014. paper 🔥

KDD
  • (ER-MLP) Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang. "Knowledge vault: a web-scale approach to probabilistic knowledge fusion". KDD 2014. paper 🔥

2015

Conference

ICLR
  • (DistMult) Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng. "Embedding Entities and Relations for Learning and Inference in Knowledge Bases". ICLR 2015. paper 🔥
AAAI
  • (TransR/CTransR) Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. "Learning Entity and Relation Embeddings for Knowledge Graph Completion". AAAI 2015. paper code 🔥
ACL

  • (SSE) Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo. "Semantically Smooth Knowledge Graph Embedding". ACL 2015. paper 🔥

  • (TransD) Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao. "Knowledge Graph Embedding via Dynamic Mapping Matrix". ACL 2015. paper 🔥

IJCAI
  • (r-TransE) Quan Wang, Bin Wang, Li Guo. "Knowledge Base Completion Using Embeddings and Rules". IJCAI 2015. paper 🔥
EMNLP

  • Yuanfei Luo, Quan Wang, Bin Wang, Li Guo. "Context-Dependent Knowledge Graph Embedding". EMNLP 2015. paper

  • (Jointly(desp)) Huaping Zhong, Jianwen Zhang, Zhen Wang, Hai Wan, Zheng Chen. "Aligning Knowledge and Text Embeddings by Entity Descriptions". EMNLP 2015. paper 🔥

  • (PTransE) Yankai Lin, Zhiyuan Liu, Huanbo Luan, Maosong Sun, Siwei Rao, Song Liu. "Modeling Relation Paths for Representation Learning of Knowledge Bases". EMNLP 2015. paper code 🔥

  • (RTransE) Alberto Garcia-Duran, Antoine Bordes, Nicolas Usunier. "Composing Relationships with Translations". EMNLP 2015. paper

  • (TransE-COMP) Kelvin Guu, John Miller, Percy Liang. "Traversing Knowledge Graphs in Vector Space". EMNLP 2015. paper code 🔥

CIKM

  • (INS) Zhuoyu Wei, Jun Zhao, Kang Liu, Zhenyu Qi, Zhengya Sun, Guanhua Tian. "Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances". CIKM 2015. paper

  • (KG2E) Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao. "Learning to Represent Knowledge Graphs with Gaussian Embedding". CIKM 2015. paper 🔥

WWW
  • (AMDC) Hiroshi Kajino, Akihiro Kishimoto, Adi Botea, Elizabeth M. Daly, Spyros Kotoulas. "Active Learning for Multi-relational Data Construction". WWW 2015. paper

2016

Conference

AAAI

  • (DKRL) Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun. "Representation Learning of Knowledge Graphs with Entity Descriptions". AAAI 2016. paper code 🔥 💥

  • (HolE) Maximilian Nickel, Lorenzo Rosasco, Tomaso Poggio. "Holographic Embeddings of Knowledge Graphs". AAAI 2016. paper code 🔥 💥

  • (TransA) Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng. "Locally Adaptive Translation for Knowledge Graph Embedding". AAAI 2016. paper 🔥

  • (TranSparse) Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao. "Knowledge Graph Completion with Adaptive Sparse Transfer Matrix". AAAI 2016. paper 🔥

NeurIPS
  • (Gaifman) Mathias Niepert. "Discriminative Gaifman Models". NeurIPS 2016. paper reviews
ACL

  • Teng Long, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup. "Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data". ACL 2016. paper

  • (TransG) Han Xiao, Minlie Huang, Xiaoyan Zhu. "TransG: A Generative Model for Knowledge Graph Embedding". ACL 2016. paper code 🔥

ICML
  • (ComplEx) Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard. "Complex Embeddings for Simple Link Prediction". ICML 2016. paper code 🔥 💥
IJCAI

  • (KR-EAR) Yankai Lin, Zhiyuan Liu, Maosong Sun. "Knowledge Representation Learning with Entities, Attributes and Relations". IJCAI 2016. paper code

  • (ManifoldE) Han Xiao, Minlie Huang, Xiaoyan Zhu. "From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction". IJCAI 2016. paper code 🔥

  • (m-TransH) Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang. "On the Representation and Embedding of Knowledge Bases beyond Binary Relations". IJCAI 2016. paper

  • (ProPPR) William Yang Wang, William W. Cohen. "Learning First-Order Logic Embeddings via Matrix Factorization". IJCAI 2016. paper code

  • (TEKE) Zhigang Wang, Juanzi Li. "Text-Enhanced Representation Learning for Knowledge Graph". IJCAI 2016. paper 🔥

  • (TKRL) Ruobing Xie, Zhiyuan Liu, Maosong Sun. "Representation Learning of Knowledge Graphs with Hierarchical Types". IJCAI 2016. paper code 🔥

EMNLP

  • (KALE) Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo."Jointly Embedding Knowledge Graphs and Logical Rules". EMNLP 2016. paper code 🔥

  • (t-TransE) Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui. "Encoding Temporal Information for Time-Aware Link Prediction". EMNLP 2016. paper

COLING

  • (GAKE) Jun Feng, Minlie Huang, Yang Yang, Xiaoyan Zhu. "GAKE: Graph Aware Knowledge Embedding". COLING 2016. paper code

  • (TransE-TAE) Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui. "Towards Time-Aware Knowledge Graph Completion". COLING 2016. paper

KR
  • (FTransE) Jun Feng, Minlie Huang, Mingdong Wang, Mantong Zhou, Yu Hao, Xiaoyan Zhu. "Knowledge Graph Embedding by Flexible Translation". KR 2016. paper code
NAACL

  • (lppTransE) Hee-Geun Yoon, Hyun-Je Song, Seong-Bae Park, Se-Young Park. "A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations". HLT-NAACL 2016. paper

  • (STransE) Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson. "STransE: A Novel Embedding Model of Entities and Relationships in Knowledge Bases". HLT-NAACL 2016. paper code 🔥

SIGIR
  • (HiRi) Qiao Liu, Liuyi Jiang, Minghao Han, Yao Liu, Zhiguang Qin. "Hierarchical Random Walk Inference in Knowledge Graphs". SIGIR 2016. paper
ESWC
  • (mwNN) Yinchong Yang, Cristóbal Esteban, Volker Tresp. "Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling". ESWC 2016. paper

2017

Journal

Information Sciences
  • (LPMR) Caiyan Dai, Ling Chen, Bin Li, Yun Li. "Link prediction in multi-relational networks based on relational similarity". Inf. Sci. 2017. Impact 5.910. paper 🔥
Knowledge-based Systems
  • (searchWeb) Lidong Bing, Zhiming Zhang, Wai Lam, William W. Cohen. "Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern". Knowl. Based Syst. 2017. Impact 5.921. paper
IEEE Transactions on Knowledge and Data Engineering

  • (SSE) Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo. "SSE: Semantically Smooth Embedding for Knowledge Graphs". IEEE Trans. Knowl. Data Eng. 2017. Impact 4.935. paper 🔥

  • (TRANSFER) Xiaochi Wei, Heyan Huang, Liqiang Nie, Hanwang Zhang, Xianling Mao, Tat-Seng Chua. "I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base". IEEE Trans. Knowl. Data Eng. 2017. Impact 4.935. paper code

Neurocomputing
  • (TransPES) Yu Wu, Tingting Mu, John Yannis Goulermas. "Translating on pairwise entity space for knowledge graph embedding". Neurocomputing 2017. Impact 4.438. paper code
Journal of Machine Learning Research
  • (ComplEx) Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard. "Knowledge Graph Completion via Complex Tensor Factorization". J. Mach. Learn. Res. 2017. Impact 3.484. paper code 🔥

Conference

AAAI

  • (MLNs) Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt. "Marrying Uncertainty and Time in Knowledge Graphs". AAAI 2017. paper

  • (ProjE) Baoxu Shi, Tim Weninger. "ProjE: Embedding Projection for Knowledge Graph Completion". AAAI 2017. paper code 🔥

  • (puTransE) Yi Tay, Luu Anh Tuan, Siu Cheung Hui. "Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs". AAAI 2017. paper

  • (SSP) Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu. "SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions". AAAI 2017. paper code 🔥

NeurIPS
  • (Neural-LP) Fan Yang, Zhilin Yang, William W. Cohen. "Differentiable Learning of Logical Rules for Knowledge Base Reasoning". NeurIPS 2017. paper reviews code 🔥
ACL

  • (FRN) Alexandros Komninos, Suresh Manandhar. "Feature-Rich Networks for Knowledge Base Completion". ACL 2017. paper

  • (ITransF) Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard Hovy. "An Interpretable Knowledge Transfer Model for Knowledge Base Completion". ACL 2017. paper

ICML

  • (ANALOGY) Hanxiao Liu, Yuexin Wu, Yiming Yang. "Analogical Inference for Multi-relational Embeddings". ICML 2017. paper code 🔥

  • (Know-Evolve) Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song. "Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs". ICML 2017. paper 🔥

IJCAI

  • (IKRL) Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun. "Image-embodied Knowledge Representation Learning". IJCAI 2017. paper code

  • (Jointly(A-LSTM)) Jiacheng Xu, Xipeng Qiu, Kan Chen, Xuanjing Huang. "Knowledge Graph Representation with Jointly Structural and Textual Encoding". IJCAI 2017. paper code 🔥

EMNLP

  • (DeepPath) Wenhan Xiong, Thien Hoang, William Yang Wang. "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning". EMNLP 2017. CCF B. Cite 180. paper 🔥

  • (Sparsity) Jay Pujara, Eriq Augustine, Lise Getoor. "Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short". EMNLP 2017. paper code

CIKM

  • (CombinE) Zhen Tan, Xiang Zhao, Wei Wang. "Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations". CIKM 2017. paper

  • (Correlation) Soumajit Pal, Jacopo Urbani. "Enhancing Knowledge Graph Completion By Embedding Correlations". CIKM 2017. paper code

  • (ETE) Changsung Moon, Paul Jones, Nagiza F. Samatova. "Learning Entity Type Embeddings for Knowledge Graph Completion". CIKM 2017. paper

  • (TCE) Jun Shi, Huan Gao, Guilin Qi, Zhangquan Zhou. "Knowledge Graph Embedding with Triple Context". CIKM 2017. paper code

  • (TransE-RS) Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo. "Learning Knowledge Embeddings by Combining Limit-based Scoring Loss". CIKM 2017. paper

WSDM
  • (RSTE) Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Falk Brauer. "Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction". WSDM 2017. paper
ECML-PKDD

  • (Regularize) Pasquale Minervini, Luca Costabello, Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche. "Regularizing Knowledge Graph Embeddings via Equivalence and Inversion Axioms". ECML/PKDD 2017. CCF B. Cite 31. paper

  • (TransT) Shiheng Ma, Jianhui Ding, Weijia Jia, Kun Wang, Minyi Guo. "TransT: Type-Based Multiple Embedding Representations for Knowledge Graph Completion". ECML/PKDD 2017. paper

WWW

  • (ORC) Wen Zhang. "Knowledge Graph Embedding with Diversity of Structures". WWW 2017. paper

  • (TransR-PNS) Vibhor Kanojia, Hideyuki Maeda, Riku Togashi, Sumio Fujita. "Enhancing Knowledge Graph Embedding with Probabilistic Negative Sampling". WWW 2017. paper

2018

Journal

Knowledge-based Systems
  • (PaSKoGE) Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng. "Path-specific knowledge graph embedding". Knowl. Based Syst. 2018. Impact 5.921. paper
Cognitive Computation
  • (VBNTD) Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, Zenglin Xu. "Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition". Cogn. Comput. 2018. Impact 4.287. paper 🔥

Conference

ICLR
  • (MINERVA) Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum. "Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning". ICLR 2018. paper code 🔥
AAAI

  • (CKRL) Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin. "Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence". AAAI 2018. paper code

  • (ComplEx-L1) Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo. "Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion". AAAI 2018. paper code

  • (ConMask) Baoxu Shi, Tim Weninger. "Open-World Knowledge Graph Completion". AAAI 2018. paper code "fire"

  • (ConvE) Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel. "Convolutional 2D Knowledge Graph Embeddings". AAAI 2018. paper code 🔥

  • (IGAN) Peifeng Wang, Shuangyin Li, Rong Pan. "Incorporating GAN for Negative Sampling in Knowledge Representation Learning". AAAI 2018. paper

  • (JointNRE) Xu Han, Zhiyuan Liu, Maosong Sun. "Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text". AAAI 2018. paper code 🔥

  • Yanjie Wang, Rainer Gemulla, Hui Li. "On Multi-Relational Link Prediction with Bilinear Models". AAAI 2018. paper code

  • (RUGE) Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo. "Knowledge Graph Embedding With Iterative Guidance From Soft Rules". AAAI 2018. paper code 🔥

  • (TorusE) Takuma Ebisu, Ryutaro Ichise. "TorusE: Knowledge Graph Embedding on a Lie Group". AAAI 2018. paper code 🔥

  • (TransE-T) Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao. "Embedding of Hierarchically Typed Knowledge Bases". AAAI 2018. paper code

NeurIPS

  • (GQE) William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec. "Embedding Logical Queries on Knowledge Graphs". NeurIPS 2018. paper reviews code 🔥

  • (SimplE) Seyed Mehran Kazemi, David Poole. "SimplE Embedding for Link Prediction in Knowledge Graphs". NeurIPS 2018. paper reviews code 🔥

ACL

  • (ComplEx-NNE) Boyang Ding, Quan Wang, Bin Wang, Li Guo. "Improving Knowledge Graph Embedding Using Simple Constraints". ACL 2018. CCF A. Cite 48. paper code 🔥

  • (Joint+COMP) Ryo Takahashi, Ran Tian, Kentaro Inui. "Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder". ACL 2018. paper code

  • (KG-Geometry) Chandrahas, Aditya Sharma, Partha Talukdar. "Towards Understanding the Geometry of Knowledge Graph Embeddings". ACL 2018. paper code

  • (POE) Luke Vilnis, Xiang Li, Shikhar Murty, Andrew McCallum. "Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures". ACL 2018. paper

ICML
  • (ComplEx-N3) Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski. "Canonical Tensor Decomposition for Knowledge Base Completion". ICML 2018. paper code 🔥
IJCAI
  • (TransAt) Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He. "Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism". IJCAI 2018. paper code
EMNLP

  • (GMatching) Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang. "One-Shot Relational Learning for Knowledge Graphs". EMNLP 2018. paper code

  • (HyTE) Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar. "HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding". EMNLP 2018. paper code 🔥

  • (MKBE) Pouya Pezeshkpour, Liyan Chen, Sameer Singh. "Embedding Multimodal Relational Data for Knowledge Base Completion". EMNLP 2018. paper code

  • (MultiHopKG) Xi Victoria Lin, Richard Socher, Caiming Xiong. "Multi-Hop Knowledge Graph Reasoning with Reward Shaping". EMNLP 2018. paper code 🔥

  • (TA-DistMult) Alberto Garcia-Duran, Sebastijan Dumančić, Mathias Niepert. "Learning Sequence Encoders for Temporal Knowledge Graph Completion". EMNLP 2018. paper dataset

  • (TransC) Xin Lv, Lei Hou, Juanzi Li, Zhiyuan Liu. "Differentiating Concepts and Instances for Knowledge Graph Embedding". EMNLP 2018. paper code

  • (TransE-HRS) Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He. "Knowledge Graph Embedding with Hierarchical Relation Structure". EMNLP 2018. paper

KR
  • (OntologyE) Víctor Gutiérrez-Basulto, Steven Schockaert. "From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules". KR 2018. paper
UAI
  • (KBLRN) Alberto García-Durán, Mathias Niepert. "KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features". UAI 2018. paper 🔥
CoNLL
  • (CKBC) Itsumi Saito, Kyosuke Nishida, Hisako Asano, Junji Tomita. "Commonsense Knowledge Base Completion and Generation". CoNLL 2018. paper
NAACL

  • (ATE) Bo An, Bo Chen, Xianpei Han, Le Sun. "Accurate Text-Enhanced Knowledge Graph Representation Learning". NAACL-HLT 2018. paper

  • (ConvKB) Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung. "A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network". NAACL-HLT 2018. paper code 🔥

  • (KBGAN) Liwei Cai, William Yang Wang. "KBGAN: Adversarial Learning for Knowledge Graph Embeddings". NAACL-HLT 2018. paper code 🔥

SIGIR

  • (Max-K Criterion) Jiajie Mei, Richong Zhang, Yongyi Mao, Ting Deng. "On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols". SIGIR 2018. paper

  • (TransN) Chun-Chih Wang, Pu-Jen Cheng. "Translating Representations of Knowledge Graphs with Neighbors". SIGIR 2018. paper

CIKM

  • (CACL) Byungkook Oh, Seungmin Seo, Kyong-Ho. "Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods". CIKM 2018. paper

  • (MultiE) Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He. "MultiE: Multi-Task Embedding for Knowledge Base Completion". CIKM 2018. paper

  • (Re-evaluat) Farahnaz Akrami, Lingbing Guo, Wei Hu, Chengkai Li. "Re-evaluating Embedding-Based Knowledge Graph Completion Methods". CIKM 2018. paper

  • (SENN) Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. "Shared Embedding Based Neural Networks for Knowledge Graph Completion". CIKM 2018. paper

ESWC
  • (R-GCN) Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling. "Modeling Relational Data with Graph Convolutional Networks". ESWC 2018. paper code 🔥
WWW

  • Kaja Zupanc, Jesse Davis. "Estimating Rule Quality for Knowledge Base Completion with the Relationship between Coverage Assumption". WWW 2018. paper

  • (TTransE) Julien Leblay, Melisachew Wudage Chekol. "Deriving Validity Time in Knowledge Graph". WWW 2018. paper

2019

Journal

Future Generation Computer Systems
  • (TKGE) Binling Nie, Shouqian Sun. "Knowledge graph embedding via reasoning over entities, relations, and text". Future Gener. Comput. Syst. 2019. Impact 6.125. paper 🔥
Knowledge-based Systems
  • (KEC) Niannian Guan, Dandan Song, Lejian Liao. "Knowledge graph embedding with concepts". Knowl. Based Syst. 2019. Impact 5.921. paper 🔥 💥
Applied Soft Computing
  • (ProjFE) Huajing Liu, Luyi Bai, Xiangnan Ma, Wenting Yu, Changming Xu. "ProjFE: Prediction of fuzzy entity and relation for knowledge graph completion". Appl. Soft Comput. 2019. Impact 5.472. paper
Information Processing and Management
  • (MKRL) Xing Tang, Ling Chen, Jun Cui, Baogang Wei. "Knowledge representation learning with entity descriptions, hierarchical types, and textual relations". Inf. Process. Manag. 2019. Impact 4.787. paper
Neural Computing and Applications
  • (RPE) Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan. "Relation path embedding in knowledge graphs". Neural Comput. Appl. 2019. Impact 4.774. paper
Journal of Machine Learning Research
  • Chengchun Shi, Wenbin Lu, Rui Song. "Determining the Number of Latent Factors in Statistical Multi-Relational Learning". J. Mach. Learn. Res. 2019. Impact 3.484. paper

Conference

ICLR

  • (DyRep) Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha. "DyRep: Learning Representations over Dynamic Graphs". ICLR 2019. paper 🔥 💥

  • (RotatE) Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang. "RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space". ICLR 2019. paper code 🔥 💥

AAAI

  • (LAN) PeiFeng Wang, Jialong Han, Chenliang Li, Rong Pan. "Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding". AAAI 2019. paper code

  • (LENA) Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng. "LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion". AAAI 2019. paper code

  • (OWE) Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait. "An Open-World Extension to Knowledge Graph Completion Models". AAAI 2019. paper code

  • (SACN) Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou. "End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion". AAAI 2019. paper code 🔥

  • (SimplE+) Bahare Fatemi, Siamak Ravanbakhsh, David Poole. "Improved Knowledge Graph Embedding Using Background Taxonomic Information". AAAI 2019. paper

  • (TransGate) Jun Yuan, Neng Gao, Ji Xiang. "TransGate: Knowledge Graph Embedding with Shared Gate Structure". AAAI 2019. paper

  • (UKGE) Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo. "Embedding Uncertain Knowledge Graphs". AAAI 2019. paper code

NeurIPS

  • (DRUM) Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang. "DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs". NeurIPS 2019. paper code

  • (MuRP) Ivana Balaževic, Carl Allen, Timothy Hospedales. "Multi-relational Poincaré Graph Embeddings". NeurIPS 2019. paper code 🔥

  • (QuatE) Shuai Zhangy, Yi Tay, Lina Yao, Qi Liu. "Quaternion Knowledge Graph Embeddings". NeurIPS 2019. paper code 🔥

  • Meng Qu, Jian Tang. "Probabilistic Logic Neural Networks for Reasoning". NeurIPS 2019. paper

ACL

  • (DihEdral) Canran Xu, Ruijiang Li. "Relation Embedding with Dihedral Group in Knowledge Graph". ACL 2019. paper

  • (KBGAT) Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul. "Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs". ACL 2019. paper code 🔥 💥

ICML
  • (RSN) Lingbing Guo, Zequn Sun, Wei Hu. "Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs". ICML 2019. paper code 🔥
IJCAI

  • (AnyBURL) Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt. "Anytime Bottom-Up Rule Learning for Knowledge Graph Completion". IJCAI 2019. paper code

  • (Attack) Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren. "Data Poisoning Attack against Knowledge Graph Embedding". IJCAI 2019. CCF A. Cite 6. paper

  • (M-GNN) Zihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, Yue Hu. "Robust Embedding with Multi-Level Structures for Link Prediction". IJCAI 2019. paper

  • (TransMS) Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin. "TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics". IJCAI 2019. paper

  • (VR-GCN) Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang. "A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment". IJCAI 2019. paper

  • (WWV) Neil Veira, Brian Keng, Kanchana Padmanabhan, Andreas G. Veneris. "Unsupervised Embedding Enhancements of Knowledge Graphs using Textual Associations". IJCAI 2019. paper code

EMNLP

  • (AttnPath) Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao. "Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning". EMNLP/IJCNLP 2019. paper

  • (CaRe) Swapnil Gupta, Sreyash Kenkre, Partha Talukdar. "CaRe: Open Knowledge Graph Embeddings". EMNLP/IJCNLP 2019. paper code

  • (CPL) Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren. "Collaborative Policy Learning for Open Knowledge Graph Reasoning". EMNLP/IJCNLP 2019. paper

  • (JoBi) Esma Balkir, Masha Naslidnyk, Dave Palfrey and Arpit Mittal. "Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets". EMNLP/IJCNLP 2019. paper

  • (Meta-KGR) Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu. "Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations". EMNLP/IJCNLP 2019. paper

  • (MetaR) Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen and Huajun Chen. "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs". EMNLP/IJCNLP 2019. paper code

  • (OPTransE) Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song and Tao Zhang. "Representation Learning with Ordered Relation Paths for Knowledge Graph Completion". EMNLP/IJCNLP 2019. paper

  • (TCVAE) Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing and Wai Lam. "Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion". EMNLP/IJCNLP 2019. paper

  • (TuckER) Ivana Balazevic, Carl Allen, Timothy M. Hospedales. "TuckER: Tensor Factorization for Knowledge Graph Completion". EMNLP/IJCNLP 2019. paper code 🔥 💥

UAI

  • (EM) Robert Bamler, Farnood Salehi, Stephan Mandt. "Augmenting and Tuning Knowledge Graph Embeddings". UAI 2019. paper code

  • (MLN) Ondrej Kuzelka, Jesse Davis. "Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption". UAI 2019. paper

NAACL

  • (CapsE) Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Q. Phung. "A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization". NAACL-HLT 2019. paper code 🔥

  • (ConvR) Xiaotian Jiang, Quan Wang, Bin Wang. "Adaptive Convolution for Multi-Relational Learning". NAACL-HLT 2019. paper

  • (CRIAGE) Pouya Pezeshkpour, Yifan Tian, Sameer Singh. “Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications”. NAACL-HLT 2019. paper code

  • (FFD) Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam. "Fact Discovery from Knowledge Base via Facet Decomposition". NAACL-HLT 2019. paper

  • (GRank) Takuma Ebisu, Ryutaro Ichise. "Graph Pattern Entity Ranking Model for Knowledge Graph Completion". NAACL-HLT 2019. paper

  • (TMKGE) Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li. "Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process". NAACL-HLT 2019. paper

KDD
  • (JOIE) Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang. "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts". KDD 2019. paper code
ICDE
  • (NSCaching) Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen. "NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding". ICDE 2019. paper code
WSDM
  • (CrossE) Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen. "Interaction Embeddings for Prediction and Explanation in Knowledge Graphs". WSDM 2019. paper code 🔥
ISWC

  • (HapPenIng) Simon Gottschalk, Elena Demidova. "HapPenIng: Happen, Predict, Infer - Event Series Completion in a Knowledge Graph". ISWC 2019. paper

  • (LiteralE) Agustinus Kristiadi, Mohammad Asif Khan, Denis Lukovnikov, Jens Lehmann, Asja Fischer. "Incorporating Literals into Knowledge Graph Embeddings". ISWC 2019. paper

  • (KEEN) Mehdi Ali, Hajira Jabeen, Charles Tapley Hoyt, Jens Lehmann. "The KEEN Universe - An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability". ISWC 2019. paper

  • (RW-LMLM) Changjian Wang, Minghui Yan, Chuanrun Yi, Ying Sha. "Capturing Semantic and Syntactic Information for Link Prediction in Knowledge Graphs". ISWC 2019. paper

  • (TERA) Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen. "Knowledge Graph Embedding for Ecotoxicological Effect Prediction". ISWC 2019. paper

  • (TransEdge) Zequn Sun, JiaCheng Huang, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu. "TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs". ISWC 2019. paper

ESWC

  • (CNN) Sébastien Ferré. "Link Prediction in Knowledge Graphs with Concepts of Nearest Neighbours". ESWC 2019. paper

  • (MMKG) Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel O?oro-Rubio, David S. Rosenblum. "MMKG: Multi-modal Knowledge Graphs". ESWC 2019. paper

WWW

  • (ActiveLink) Natalia Ostapuk, Jie Yang, Philippe Cudré-Mauroux. "ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs". WWW 2019. paper code

  • (IterE) Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen. "Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning". WWW 2019. paper code 🔥

  • (MARINE) Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin. "MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes". WWW 2019. paper

  • (NaLP) Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. "Link Prediction on N-ary Relational Data". WWW 2019. paper code

ICASSP
  • (GRNN) Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis. "A Recurrent Graph Neural Network for Multi-relational Data". ICASSP 2019. paper

2020

Journal

Knowledge Based Systems

  • (ADRL) Qi Wang, Yongsheng Hao, Jie Cao. "ADRL: An attention-based deep reinforcement learning framework for knowledge graph reasoning". Knowl. Based Syst. 2020. Impact 5.921. paper

  • (ConnectE) Yu Zhao, Anxiang Zhang, Huali Feng, Qing Li, Patrick Gallinari, Fuji Ren. "Knowledge graph entity typing via learning connecting embeddings". Knowl. Based Syst. 2020. Impact 5.921. paper

  • (GRL) Qi Wang, Yuede Ji, Yongsheng Hao, Jie Cao. "GRL: Knowledge graph completion with GAN-based reinforcement learning". Knowl. Based Syst. 2020. Impact 5.921. paper

  • (TransE&RW) Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfen g Du, Lihong Wang. "Modeling relation paths for knowledge base completion via joint adversarial training". Knowl. Based Syst. 2020. Impact 5.921. paper

  • (WDE) Yuanfei Dai, Shiping Wang, Xing Chen, Chaoyang Xu, Wenzhong Guo. "Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings". Knowl. Based Syst. 2020. Impact 5.921. paper

Information Sciences

  • (FGEM) Richong Zhang, Yongyi Mao, Weihua Zhao. "Knowledge graphs completion via probabilistic reasoning". Inf. Sci. 2020. Impact 5.910. paper

  • (MAKR) Yongming Han, GuoFei Chen, Zhongkun Li, Zhiqiang Geng, Fang Li, Bo Ma. "An asymmetric knowledge representation learning in manifold space". Inf. Sci. 2020. Impact 5.910. paper

Expert Systems with Applications

  • Batselem Jagvaral, Wan-Kon Lee, Jae-Seung Roh, Min-Sung Kim, Young-Tack Park. "Path-based reasoning approach for knowledge graph completion using CNN-BiLSTM with attention mechanism". Expert Syst. Appl. 2020. Impact 5.452. paper

  • (SDT) Xiaojun Chen, Shengbin Jia, Ling Ding, Hong Shen, Yang Xiang. "SDT: An integrated model for open-world knowledge graph reasoning". Expert Syst. Appl. 2020. Impact 5.452. paper

IEEE Transactions on Knowledge and Data Engineering
  • (KGLG) Takuma Ebisu, Ryutaro Ichise. "Generalized Translation-Based Embedding of Knowledge Graph". IEEE Trans. Knowl. Data Eng. 2020. Impact 4.935. paper
Neural Computing and Applications

  • (PRCTA) Kai Lei, Jin Zhang, Yuexiang Xie, Desi Wen, Daoyuan Chen, Min Yang, Ying Shen. "Path-based reasoning with constrained type attention for knowledge graph completion". Neural Comput. Appl. 2020. Impact 4.774. paper

  • (NKSGAN) Hai Liu, Kairong Hu, Fu Lee Wang, Tianyong Hao. "Aggregating neighborhood information for negative sampling for knowledge graph embedding". Neural Comput. Appl. 2020. Impact 4.774. paper

Neurocomputing
  • (ALSTM) Qi Wang , Yongsheng Hao. "ALSTM: An attention-based long short-term memory framework for knowledge base reasoning". Neurocomputing 2020. Impact 4.438. paper

Conference

ICLR

  • (CompGCN) Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha Talukdar. "Composition-based Multi-Relational Graph Convolutional Networks". ICLR 2020. paper code 🔥

  • (DPMPN) Xiaoran Xu, Wei Feng, Yunsheng Jiang, Xiaohui Xie, Zhiqing Sun, Zhi-Hong Deng. "Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning". ICLR 2020. paper code

  • (DrKIT) Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen. "Differentiable Reasoning over a Virtual Knowledge Base". ICLR 2020. paper code 🔥

  • (Neural-LP-N) Po-Wei Wang, Daria Stepanova, Csaba Domokos, J. Zico Kolter. "Differentiable learning of numerical rules in knowledge graphs". ICLR 2020. paper

  • (Probability) Pedro Tabacof, Luca Costabello. "Probability Calibration for Knowledge Graph Embedding Models". ICLR 2020. paper

  • (Q2B) Hongyu Ren, Weihua Hu, Jure Leskovec. "Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings". ICLR 2020. paper code 🔥

  • (ReifKB) William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler. "Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base". ICLR 2020. paper

  • (TComplEx) Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier. "Tensor Decompositions for Temporal Knowledge Base Completion". ICLR 2020. paper code

  • (Teach) Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla. "You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings". ICLR 2020. paper code 🔥

AAAI

  • (CoPER) George Stoica, Otilia Stretcu, Anthony Platanios, Tom Mitchell, Barnabas Poczos. "Contextual Parameter Generation for Knowledge Graph Link Prediction". AAAI 2020. paper code

  • (DE-SimplE) Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart. "Diachronic Embedding for Temporal Knowledge Graph Completion". AAAI 2020. paper code 🔥

  • (FSRL) Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla. "Few-Shot Knowledge Graph Completion". AAAI 2020. paper code

  • (GNTPs) Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette. "Differentiable Reasoning on Large Knowledge Bases and Natural Language". AAAI 2020. paper 🔥

  • (HAKE) Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. "Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction". AAAI 2020. paper code 🔥

  • (InteractE) Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha Talukdar. "InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions". AAAI 2020. paper code supp 🔥

  • (ParamE) Feihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao. "ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion". AAAI 2020. paper

  • (R2D2) Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp. "Reasoning on Knowledge Graphs with Debate Dynamics". AAAI 2020. paper code

  • (RARL) Giuseppe Pirrò. "Relatedness and TBox-Driven Rule Learning in Large Knowledge Bases". AAAI 2020. paper

  • (RGHAT) Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhiping Shi, Hui Xiong, Qing He. "Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion". AAAI 2020. paper

  • (Robust) Peru Bhardwaj. "Towards Adversarially Robust Knowledge Graph Embeddings". AAAI 2020. paper

  • (RPJE) Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang. "Rule-Guided Compositional Representation Learning on Knowledge Graphs". AAAI 2020. paper code

  • (SimE) Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi. "Commonsense Knowledge Base Completion with Structural and Semantic Context". AAAI 2020. paper 🔥

  • (Triple2Vec) Valeria Fionda, Giuseppe Pirrò. "Learning Triple Embeddings from Knowledge Graphs". AAAI 2020. paper

  • (ZSGAN) Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang. "Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs". AAAI 2020. paper code

NeurIPS

  • (BETAE) Hongyu Ren, Jure Leskovec. "Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs". NeurIPS 2020. paper code

  • (BoxE) Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori. "BoxE: A Box Embedding Model for Knowledge Base Completion". NeurIPS 2020. paper

  • (DURA) Zhanqiu Zhang, Jianyu Cai, Jie Wang. "Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion". NeurIPS 2020. paper

  • (EmQL) Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen. "Faithful Embeddings for Knowledge Base Queries". NeurIPS 2020. paper

  • (GEN) Jinheon Baek, Dong Bok Lee, Sung Ju Hwang. "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction". NeurIPS 2020. paper code

  • (Interstellar) Yongqi Zhang, Quanming Yao, Lei Chen. "Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding". NeurIPS 2020. paper code

ACL

  • (Compression) Mrinmaya Sachan. "Knowledge Graph Embedding Compression". ACL 2020. paper

  • (ConnectE) Yu Zhao, anxiang zhang, Ruobing Xie, Kang Liu and Xiaojie WANG. "Connecting Embeddings for Knowledge Graph Entity Typing". ACL 2020. paper code

  • (HypKGE) Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi and Christopher Ré. "Low-Dimensional Hyperbolic Knowledge Graph Embeddings". ACL 2020. paper code

  • (OLP) Samuel Broscheit, Kiril Gashteovski, Yanjie Wang, Rainer Gemulla. "Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction". ACL 2020. paper code

  • (OTE) Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou. "Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding". ACL 2020. paper code

  • (Re-evaluation) Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha Talukdar and Yiming Yang. "A Re-evaluation of Knowledge Graph Completion Methods". ACL 2020. paper code 🔥

  • (ReInceptionE) Zhiwen Xie, Guangyou Zhou, Jin Liu and Jimmy Xiangji Huang. "ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding". ACL 2020. paper code

  • (SEEK) Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin and Tie-Yan Liu. "SEEK: Segmented Embedding of Knowledge Graphs". ACL 2020. paper code

ICML
  • (LowFER) Saadullah Amin, Stalin Varanasi, Katherine Ann Dunfield, Günter Neumann. "LowFER: Low-rank Bilinear Pooling for Link Prediction". ICML 2020. paper code
IJCAI

  • (DArtNet) Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren. "Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution". IJCAI 2020. paper code

  • (HRL) Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari. "Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning". IJCAI 2020. paper

  • (HypE) Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole. "Knowledge Hypergraphs: Prediction Beyond Binary Relations". IJCAI 2020. paper code

  • (TransRHS) Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li. "TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure". IJCAI 2020. paper code

EMNLP

  • (AutoETER) Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu, Jingyang Li. "AutoETER: Automated Entity Type Representation with Relation-Aware Attention for Knowledge Graph Embedding". EMNLP (Findings) 2020. paper code

  • (B-CP) Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo. "A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings". EMNLP (Findings) 2020. paper

  • (BERT+CTF) Zhenjie Zhao, Evangelos E. Papalexakis, Xiaojuan Ma. "Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization". EMNLP 2020. paper

  • (CoDEx) Tara Safavi, Danai Koutra. "CoDEx: A Comprehensive Knowledge Graph Completion Benchmark". EMNLP 2020. paper

  • (Confidence) JTara Safavi, Danai Koutra, Edgar Meij. "Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction". EMNLP 2020. paper

  • (DacKGR) Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei Zhang, Yichi Zhang, Hao Kong, Suhui Wu. "Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph". EMNLP 2020. paper code

  • (DebiasE) Joseph Fisher, Arpit Mittal, Dave Palfrey, Christos Christodoulopoulos. "Debiasing knowledge graph embeddings". EMNLP 2020. paper

  • (DualTKB) Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cícero Nogueira dos Santos, Payel Das. "DualTKB: A Dual Learning Bridge between Text and Knowledge Base". EMNLP 2020. paper

  • (DyERNIE) Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp. "DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion". EMNLP 2020. paper

  • (FAAN) Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu. "Adaptive Attentional Network for Few-Shot Knowledge Graph Completion". EMNLP 2020. paper code

  • (FIRE) Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla. "Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases". EMNLP (Findings) 2020. paper

  • (HyperKA) Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang. "Knowledge Association with Hyperbolic Knowledge Graph Embeddings". EMNLP 2020. paper code

  • (KEnS) Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo. "Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer". EMNLP (Findings) 2020. paper

  • (MCMH) Lu Zhang, Mo Yu, Tian Gao, Yue Yu. "MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning". EMNLP (Findings) 2020. paper

  • (oDistMult) Marjan Albooyeh, Rishab Goel, Seyed Mehran Kazemi. "Out-of-Sample Representation Learning for Knowledge Graphs". EMNLP (Findings) 2020. paper

  • (RE-Net) Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren. "Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs". EMNLP 2020. paper code

  • (RuleGuider) Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren. "Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning". EMNLP 2020. paper

  • (SANS) Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose. "Structure Aware Negative Sampling in Knowledge Graphs". EMNLP 2020. paper

  • (STARE) Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann. "Message Passing for Hyper-Relational Knowledge Graphs". EMNLP 2020. paper

  • (TeMP) Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton. "TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion". EMNLP 2020. paper code

  • (TIMEPLEX) Prachi Jain, Sushant Rathi, Mausam, Soumen Chakrabarti. "Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols". EMNLP 2020. paper code

ECAI

  • (BTDE) Tao Luo, Yifan Wei, Mei Yu, Xuewei Li, Mankun Zhao, Tianyi Xu, Jian Yu, Jie Gao, Ruiguo Yu. "BTDE: Block Term Decomposition Embedding for Link Prediction in Knowledge Graph". ECAI 2020. paper

  • (HALF) Meng Wang, Tongtong Wu, Guilin Qi. "A Hash Learning Framework for Search-Oriented Knowledge Graph Embedding". ECAI 2020. paper

  • (MDE) Afshin Sadeghi, Damien Graux, Hamed Shariat Yazdi, Jens Lehmann. "MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs". ECAI 2020. paper code

  • (MEI) Hung Nghiep Tran, Atsuhiro Takasu. "Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion". ECAI 2020. paper code

COLING

  • (AcrE) Feiliang Ren, Juchen Li, Huihui Zhang, Shilei Liu, Bochao Li, Ruicheng Ming, Yujia Bai. "Knowledge Graph Embedding with Atrous Convolution and Residual Learning". COLING 2020. paper code

  • (AprilE) Yuzhang Liu, Peng Wang, Yingtai Li, Yizhan Shao, Zhongkai Xu. "AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding". COLING 2020. paper

  • (GeomE) Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann. "Knowledge Graph Embeddings in Geometric Algebras". COLING 2020. paper

  • (RatE) Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang. "RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion". COLING 2020. paper

  • (IntKB) Bernhard Kratzwald, Guo Kunpeng, Stefan Feuerriegel, Dennis Diefenbach. "IntKB: A Verifiable Interactive Framework for Knowledge Base Completion". COLING 2020. paper

  • (KG-BERT) Bosung Kim, Taesuk Hong, Youngjoong Ko, Jungyun Seo. "Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models". COLING 2020. paper

  • (TeRo) Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann. "TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation". COLING 2020. paper code

UAI
  • (Strat-Hits) Aisha Mohamed, Shameem Puthiya Parambath, Zoi Kaoudi, Ashraf Aboulnaga. "Popularity Agnostic Evaluation of Knowledge Graph Embeddings". UAI 2020. paper
AAMAS
  • (TransL) Zeyuan Cui, Shijun Liu, Li Pan, Qiang He. "Translating Embedding with Local Connection for Knowledge Graph Completion". AAMAS 2020. paper code
SIGMOD
  • (FMRR) Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, Chengkai Li. "Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study". SIGMOD 2020. paper
ICDE
  • (AutoSF) Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen. "AutoSF: Searching Scoring Functions for Knowledge Graph Embedding". ICDE 2020. paper code
SIGIR
  • (DGL-KE) Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis. "DGL-KE: Training Knowledge Graph Embeddings at Scale". SIGIR 2020. paper code
CIKM

  • (ELP) Russa Biswas. "Embedding based Link Prediction for Knowledge Graph Completion". CIKM 2020. paper

  • (GAEAT) Yanfei Han, Quan Fang, Jun Hu, Shengsheng Qian, Changsheng Xu. "GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion". CIKM 2020. paper

  • (LCWA) Iti Bansal, Sudhanshu Tiwari, Carlos R. Rivero. "The Impact of Negative Triple Generation Strategies and Anomalies on Knowledge Graph Completion". CIKM 2020. paper code

  • (NagE) Tong Yang, Long Sha, Pengyu Hong. "NagE: Non-Abelian Group Embedding for Knowledge Graphs". CIKM 2020. paper

  • (NASE) Xiaoyu Kou, Bingfeng Luo, Huang Hu, Yan Zhang. "NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search". CIKM 2020. paper code

  • (Rotate3D) Chang Gao, Chengjie Sun, Lili Shan, Lei Lin, Mingjiang Wang. "Rotate3D: Representing Relations as Rotations in Three-Dimensional Space for Knowledge Graph Embedding". CIKM 2020. paper code

  • (SLRE) Shu Guo, Lin Li, Zhen Hui, Lingshuai Meng, Bingnan Ma, Wei Liu, Lihong Wang, Haibin Zhai, Hong Zhang. "Knowledge Graph Embedding Preserving Soft Logical Regularity". CIKM 2020. paper code

  • (ToKE) Julien Leblay, Melisachew Wudage Chekol, Xin Liu. "Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision". CIKM 2020. paper

WSDM
  • Da Xu, Chuanwei Ruan, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan. "Knowledge-aware Complementary Product Representation Learning". WSDM 2020. paper code
ISWC

  • (ATiSE) Chenjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, Jens Lehmann. "Temporal Knowledge Graph Completion Based on Time Series Gaussian Embedding". ISWC 2020. paper code

  • (EKGR) Rajarshi Bhowmik, Gerard de Melo. "Explainable Link Prediction for Emerging Entities in Knowledge Graphs". ISWC 2020. paper code

  • Gang Wu, Wenfang Wu, Leilei Li, Guodong Zhao, Donghong Han, Baiyou Qiao. "BCRL: Long Text Friendly Knowledge Graph Representation Learning". ISWC 2020. paper

  • Mojtaba Nayyeri, Chengjin Xu, Sahar Vahdati, Nadezhda Vassilyeva, Emanuel Sallinger, Hamed Shariat Yazdi, Jens Lehmann. "Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them". ISWC 2020. paper

ICDM
  • Susheel Suresh, Jennifer Neville. "A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs". ICDM 2020. paper
ESWC

  • (HyperKG) Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis. "Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion". ESWC 2020. paper code

  • (YAGO4) Thomas Pellissier Tanon, Gerhard Weikum, Fabian M. Suchanek. "YAGO 4: A Reason-able Knowledge Base". ESWC 2020. paper code

WWW

  • (KG_Curation) Jiaoyan Chen, Xi Chen, Ian Horrocks, Ernesto Jiménez-Ruiz, Erik B. Myklebust. "Correcting Knowledge Base Assertions". WWW 2020. paper code

  • (GETD) Yu Liu, Quanming Yao, Yong Li. "Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases". WWW 2020. paper code

  • (HINGE) Paolo Rosso, Dingqi Yang, Philippe Cudré-Mauroux. "Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction". WWW 2020. paper code

  • (Subgraph) Unmesh Joshi, Jacopo Urbani. "Searching for Embeddings in a Haystack: Link Prediction on Knowledge Graphs with Subgraph Pruning". WWW 2020. paper

  • (TDGNN) Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi. "Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network". WWW 2020. paper code

2021

Journal

Knowledge Based Systems

  • (CoRelatE) Yan Huang, Haili Sun, Ke Xu, Songfeng Lu, Tongyang Wang, Xinfang Zhang. "CoRelatE: Learning the correlation in multi-fold relations for knowledge graph embedding". Knowl. Based Syst. 2021. Impact 5.921. paper

  • (TimE) Qianjin Zhang, Ronggui Wang, Juan Yang, Lixia Xue. "Knowledge graph embedding by translating in time domain space for link prediction". Knowl. Based Syst. 2021. Impact 5.921. paper

  • (TrustE) Yu Zhao, Zhiquan Li, Wei Deng, Ruobing Xie, Qing Li. "Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs". Knowl. Based Syst. 2021. Impact 5.921. paper

  • Zikang Wang, Linjing Li, Daniel Zeng, Xiaofei Wu. "Incorporating prior knowledge from counterfactuals into knowledge graph reasoning". Knowl. Based Syst. 2021. Impact 5.921. paper

Neural Networks

  • (DAPath) Prayag Tiwari, Hongyin Zhu, Hari Mohan Pandey. "DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning". Neural Networks 2021. Impact 5.5337. paper

  • (LSUs) Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He. "Knowledge graph embedding with shared latent semantic units". Neural Networks 2021. Impact 5.5337. paper

Expert Systems with Applications
  • (KGEL) Adnan Zeb, Anwar Ul Haq, Defu Zhang, Junde Chen, Zhiguo Gong. "KGEL: A novel end-to-end embedding learning framework for knowledge graph completion". Expert Syst. Appl. 2021. Impact 5.452. paper
IEEE Transactions on Knowledge and Data Engineering

  • Han Xiao, Yidong Chen, Xiaodong Shi. "Knowledge Graph Embedding Based on Multi-View Clustering Framework". IEEE Trans. Knowl. Data Eng. 2021. Impact 4.935. paper

  • (RLvLR) Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang. "An Embedding-Based Approach to Rule Learning in Knowledge Graphs". IEEE Trans. Knowl. Data Eng. 2021. Impact 4.935. paper

Neural Computing and Applications
  • (NKSGAN) Hai Liu, Kairong Hu, Fu Lee Wang, Tianyong Hao. "Correction to: Aggregating neighborhood information for negative sampling for knowledge graph embedding". Neural Comput. Appl. 2021. Impact 4.774. paper
Neurocomputing

  • Zhifei Li, Hai Liu, Zhaoli Zhang, Tingting Liu, Jiangbo Shu. "Recalibration convolutional networks for learning interaction knowledge graph embedding". Neurocomputing 2021. Impact 4.438. paper

  • Mingda Li, Zhengya Sun, Siheng Zhang, Wensheng Zhang. "Enhancing knowledge graph embedding with relational constraints". Neurocomputing 2021. Impact 4.438. paper

  • Shuangyin Li, Heng Wang, Rong Pan, Mingzhi Mao. "MemoryPath: A deep reinforcement learning framework for incorporating memory component into knowledge graph reasoning". Neurocomputing 2021. Impact 4.438. paper

  • Qi Wang, Yongsheng Hao, Feng Chen. "Deepening the IDA algorithm for knowledge graph reasoning through neural network architecture". Neurocomputing 2021. Impact 4.438. paper

Conference

ICLR

  • (PMI) Carl Allen, Ivana Balazevic, Timothy Hospedales. "Interpreting Knowledge Graph Relation Representation from Word Embeddings". ICLR 2021. paper

  • (RNNLogic) Meng Qu, Junkun Chen, Louis-Pascal A Xhonneux, Yoshua Bengio, Jian Tang. "RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs". ICLR 2021. paper code

  • (xERTE) Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp. "Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs". ICLR 2021. paper code

AAAI

  • (5E) Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann. "5 Knowledge Graph Embeddings with Projective Transformations". AAAI 2021. paper

  • (BiQE) Bhushan Kotnis, Carolin Lawrence, Mathias Niepert. "Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders". AAAI 2021. paper

  • (ChronoR) Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, Daisy Zhe Wang. "ChronoR: Rotation Based Temporal Knowledge Graph Embedding". AAAI 2021. paper code

  • (CyGNet) Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang. "Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks". AAAI 2021. paper

  • (DualE) Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang. "Dual Quaternion Knowledge Graph Embeddings". AAAI 2021. paper

  • (GaussianPath) Guojia Wan, Bo Du. "GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning". AAAI 2021. paper

  • (NLSM) Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati. "Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs". AAAI 2021. paper

  • (PASSLEAF) Zhu-Mu Chen, Mi-Yen Yeh, Tei-Wei Kuo. "PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding". AAAI 2021. paper

  • (TACT) Jiajun Chen, Huarui He, Feng Wu, Jie Wang. "Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs". AAAI 2021. paper

  • (TaRP) Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji. "Type-augmented Relation Prediction in Knowledge Graphs". AAAI 2021. paper

  • Mehrnoosh Mirtaheri. "Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs". AAAI 2021. paper

NAACL

  • (BEUrRE) Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum. "Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning". NAACL-HLT 2021. paper code

  • (EDGE) Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li. "Edge: Enriching Knowledge Graph Embeddings with External Text". NAACL-HLT 2021. paper

  • (KRE) Shuai Zhang, Xi Rao, Yi Tay, Ce Zhang. "Knowledge Router: Learning Disentangled Representations for Knowledge Graphs". NAACL-HLT 2021. paper

  • (ProcrustEs) Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson. "Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis". NAACL-HLT 2021. paper code

  • (RTFE) Youri Xu, Haihong E, Meina Song, Wenyu Song, Xiaodong Lv, Haotian Wang, Jinrui Yang. "RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion". NAACL-HLT 2021. paper

  • (TeLM) Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann. "Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings". NAACL-HLT 2021. paper

ICDE

  • Yueji Yang, Yuchen Li, Anthony K. H. Tung. "NewsLink: Empowering Intuitive News Search with Knowledge Graphs". ICDE 2021. paper

  • Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen. "Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding". ICDE 2021. paper

WWW

  • Sudhanshu Tiwari, Iti Bansal, Carlos R. Rivero. "Revisiting the Evaluation Protocol of Knowledge Graph Completion Methods for Link Prediction". paper

  • Paolo Rosso, Dingqi Yang, Natalia Ostapuk, Philippe Cudré-Mauroux. "RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs". paper

  • Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng. "MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings". paper

  • Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang. "Efficient Non-Sampling Knowledge Graph Embedding". paper code

  • Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang. "Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion". paper code

  • Huijuan Wang, Shuangyin Li, Rong Pan. "An Adversarial Transfer Network for Knowledge Representation Learning". paper code

  • Shen Wang, Xiaokai Wei, Cicero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz. "Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion". paper

  • Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu. "Knowledge Embedding Based Graph Convolutional Network". paper

  • Yu Liu, Quanming Yao, Yong Li. "Role-Aware Modeling for N-ary Relational Knowledge Bases". paper code

  • Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li. "MQuadE: a Unified Model for Knowledge Fact Embedding". paper

WSDM
  • (DBKGE) Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang. "Learning Dynamic Embeddings for Temporal Knowledge Graphs". WSDM 2021. paper

Datasets

Standard

Rule

Text

Temporal

Performance

Link Prediction

ICEWS14

Year Source Methods MR MRR Hits@1 Hits@3 Hits@10
2018 EMNLP TA-DistMult 276 0.477 0.363 - 0.686
2018 EMNLP HyTEDE-SinplE - 0.297 0.108 0.416 0.655
2020 AAAI DE-TransE - 0.326 0.124 0.467 0.686
2020 AAAI DE-DistMult - 0.501 0.392 0.569 0.708
2020 AAAI DE-SimplE - 0.526 0.418 0.592 0.725
2020 ICLR TNTComplEx - 0.56 0.46 0.61 0.74

About

Some papers on Knowledge Graph Embedding(KGE)