knowledge-graph-embedding
There are 46 repositories under knowledge-graph-embedding topic.
nju-websoft/OpenEA
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020
Zhankun-Xiong/Recommendation-system-based-on-knowledge-graph-embedding
Recommendation system based on knowledge graph embedding
mklimasz/TransE-PyTorch
Implementation of TransE model in PyTorch.
nju-websoft/BootEA
Bootstrapping Entity Alignment with Knowledge Graph Embedding, IJCAI 2018
nju-websoft/MultiKE
Multi-view Knowledge Graph Embedding for Entity Alignment, IJCAI 2019
nju-websoft/JAPE
Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding, ISWC 2017
nju-websoft/RSN
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019
nju-websoft/AliNet
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020
StephanieWyt/RDGCN
Source code and datasets for IJCAI 2019 paper: Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.
stmrdus/tkger
Some papers on Temporal Knowledge Graph Embedding and Reasoning
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.
zjukg/MorsE
[Paper][SIGIR2022] Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
bi-graph/Emgraph
A Python library for knowledge graph representation learning (graph embedding).
nju-websoft/TransEdge
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs, ISWC 2019
zhangfw123/TLT-KGE
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion
MIRALab-USTC/KGEPapers
Must-read papers on Knowledge Graph Embedding
tranhungnghiep/AnalyzeKGE
Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion
dobraczka/kiez
🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings
Pzoom522/ProcrustEs-KGE
Code for "Highly Efficient Knowledge Graph Embedding Learning with Closed-Form Orthogonal Procrustes Analysis" (NAACL 2021)
Yueshengxia/KGE
Some papers on knowledge graph embedding
tranhungnghiep/MEIM-KGE
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).
yubinCloud/kg2vec
Reproduceing the models of Knowledge Representation Learning (KRL), such as TransE, TransH etc.
ZihengZZH/OntoEA
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding @ ACL'21
dodo47/cyberML
Machine learning on knowledge graphs for context-aware security monitoring (data and model)
tranhungnghiep/KG20C
A Scholarly Knowledge Graph Benchmark Dataset
ShihanYang/UKGEbert
Uncertain Knowledge Graphs Embedding with BERT Pretrained Language Model
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"
felix-martel/taxonomy-extraction
Unsupervised, geometry-based taxonomy learning for knowledge graphs
NSLab-CUK/LiteralKG
LiteralKG is a novel Attributed Knowledge Graph Embedding Model developed by NS Lab @ CUK based on pure PyTorch backend.
rlafraie/OpenKE-PuTransE
An implementation of the inductive knowledge graph embedding technique Parallel Universe TransE (puTransE) built upon the OpenKE framework.
SHA-T/InteractiveKGE
Knowledge Graph Embedding with interactive live visualization.
tranhungnghiep/MEI-KGE
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).
NSLab-CUK/Halal-or-Not
Halal 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.
ichise-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.
wrk226/TransE-Neo4j-Java
It is the java implantation of paper "Translating Embeddings for Modeling Multi-relational Data".