knowledge-graph-embedding
There are 4 repositories under knowledge-graph-embedding topic.
heathersherry / Knowledge-Graph-Tutorials-and-Papers
Insightful Tutorials and Papers about Knowledge Graphs
entity-linkingknowledge-baseknowledge-graphmmkgkgqaawesomeawesome-kgawesome-listinformation-extrationkgknowledge-graph-embeddingknowledge-graphsknowledge-graph-constructionknowledge-graph-reasoningdata-integrationknowledge-graph-completionknowledge-graph-question-answeringknowledge-graph-for-recommendationknowledge-graph-representationnju-websoft / OpenEA
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020
Language:Python 559Zhankun-Xiong / Recommendation-system-based-on-knowledge-graph-embedding
Recommendation system based on knowledge graph embedding
Language:Python 163mklimasz / TransE-PyTorch
Implementation of TransE model in PyTorch.
Language:Python 162Bootstrapping Entity Alignment with Knowledge Graph Embedding, IJCAI 2018
Language:Python 152Multi-view Knowledge Graph Embedding for Entity Alignment, IJCAI 2019
Language:Python 116Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding, ISWC 2017
Language:Python 103Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019
Language:Jupyter Notebook 100Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020
Language:Python 99StephanieWyt / RDGCN
Source code and datasets for IJCAI 2019 paper: Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.
Language:Python 80- Language:Python 79
ngl567 / KGR-Survey
A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects
MIRALab-USTC / KGE-DURA
The code of paper Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion. Zhanqiu Zhang, Jianyu Cai, Jie Wang. NeurIPS 2020.
Language:Python 51Yueshengxia / KGE
Some papers on knowledge graph embedding
- Language:Python 46
- Language:Python 39
zhangfw123 / TLT-KGE
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion
Language:Python 32Must-read papers on Knowledge Graph Embedding
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs, ISWC 2019
Language:Python 28tranhungnghiep / AnalyzeKGE
Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion
Language:Python 27- kiez
dobraczka / kiez
🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings
Language:Python 25 - ProcrustEs-KGE
Pzoom522 / ProcrustEs-KGE
Code for "Highly Efficient Knowledge Graph Embedding Learning with Closed-Form Orthogonal Procrustes Analysis" (NAACL 2021)
Language:Python 24 Including W2V, DistMult, CP, SimplE, ComplEx, RotatE, Quaternion, MEI, MEIM. Paper: MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction (IJCAI 2022).
Language:Python 23ZihengZZH / OntoEA
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding @ ACL'21
Language:Python 23A Scholarly Knowledge Graph Benchmark Dataset
yubinCloud / kg2vec
Reproduceing the models of Knowledge Representation Learning (KRL), such as TransE, TransH etc.
Language:Python 19dodo47 / cyberML
Machine learning on knowledge graphs for context-aware security monitoring (data and model)
Language:Jupyter Notebook 18ShihanYang / UKGEbert
Uncertain Knowledge Graphs Embedding with BERT Pretrained Language Model
Language:Python 17RichardHGL / Awesome-KGC
Some related projects and research about knowledge graph completion task
AynurGuluzade / DARLING
Source code for the paper "Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records"
Language:Python 11felix-martel / taxonomy-extraction
Unsupervised, geometry-based taxonomy learning for knowledge graphs
Language:Python 11NSLab-CUK / LiteralKG
LiteralKG is a novel Attributed Knowledge Graph Embedding Model developed by NS Lab @ CUK based on pure PyTorch backend.
Language:Python 7Halal or Not is a novel Attributed Knowledge Graph Completion Model developed by NS Lab @ CUK based on pure PyTorch backend. This model aims at analyzing ingredients of everyday products to predict their cultural availability, e.g. predicting whether food or cosmetics meet halal or vegan criteria.
Language:Python 6rlafraie / OpenKE-PuTransE
An implementation of the inductive knowledge graph embedding technique Parallel Universe TransE (puTransE) built upon the OpenKE framework.
Language:Python 5SHA-T / InteractiveKGE
Knowledge Graph Embedding with interactive live visualization.
Language:Python 5High-performance implementations of W2V, DistMult, CP, SimplE, ComplEx, RotatE, Quaternion, and MEI. Paper: Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion (ECAI 2020).
Language:Python 5
