knowledge-graph-embedding
There are 4 repositories under knowledge-graph-embedding topic.
nju-websoft / OpenEA
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020
Language:Python 511Zhankun-Xiong / Recommendation-system-based-on-knowledge-graph-embedding
Recommendation system based on knowledge graph embedding
Language:Python 154Bootstrapping Entity Alignment with Knowledge Graph Embedding, IJCAI 2018
Language:Python 151mklimasz / TransE-PyTorch
Implementation of TransE model in PyTorch.
Language:Python 149Multi-view Knowledge Graph Embedding for Entity Alignment, IJCAI 2019
Language:Python 112Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019
Language:Jupyter Notebook 99Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020
Language:Python 98Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding, ISWC 2017
Language:Python 95StephanieWyt / RDGCN
Source code and datasets for IJCAI 2019 paper: Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.
Language:Python 75MIRALab-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 50- Language:Python 38
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- Language:Python 37
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs, ISWC 2019
Language:Python 27- ProcrustEs-KGE
Pzoom522 / ProcrustEs-KGE
Code for "Highly Efficient Knowledge Graph Embedding Learning with Closed-Form Orthogonal Procrustes Analysis" (NAACL 2021)
Language:Python 25 - kiez
dobraczka / kiez
🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings
Language:Python 24 zhangfw123 / TLT-KGE
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion
Language:Python 24Must-read papers on Knowledge Graph Embedding
tranhungnghiep / AnalyzeKGE
Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion
Language:Python 22Including 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 19yubinCloud / kg2vec
Reproduceing the models of Knowledge Representation Learning (KRL), such as TransE, TransH etc.
Language:Python 17ZihengZZH / OntoEA
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding @ ACL'21
Language:Python 16ShihanYang / UKGEbert
Uncertain Knowledge Graphs Embedding with BERT Pretrained Language Model
Language:Python 14dodo47 / cyberML
Machine learning on knowledge graphs for context-aware security monitoring (data and model)
Language:Jupyter Notebook 13A Scholarly Knowledge Graph Benchmark Dataset
RichardHGL / 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 10felix-martel / taxonomy-extraction
Unsupervised, geometry-based taxonomy learning for knowledge graphs
Language:Python 9NSLab-CUK / LiteralKG
LiteralKG is a novel Attributed Knowledge Graph Embedding Model developed by NS Lab @ CUK based on pure PyTorch backend.
Language:Python 7rlafraie / 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 5Halal 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.
High-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 4ichise-laboratory / tuckerdncaching
We extend the idea of reducing false negatives by adopting a Tucker decomposition representation to enhance the semantic soundness of latent relations among entities by introducing a relation feature space.
Language:Python 3wrk226 / TransE-Neo4j-Java
It is the java implantation of paper "Translating Embeddings for Modeling Multi-relational Data".
Language:Java 3
