https://github.com/MIRALab-USTC/KGE-DURA
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
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Knowledge Graph Embeddings
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SmartDataAnalytics/PyKEEN
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
https://github.com/WeidongLi-KG/KBGAN_PyTorch-v0.4.1
https://github.com/abhinavnagpal/KNOWLEDGE-GRAPH-PAPERS
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text
https://github.com/adymaharana/DeepPath_PyTorch
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
https://github.com/alexrenz/adaps
NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
https://github.com/ant-research/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
https://github.com/bi-graph/emgraph
https://github.com/cdhx/KBGAN_for_RotatE
https://github.com/cheungdaven/QuatE
https://github.com/dice-group/hybridfc
https://github.com/dodo47/SpikE
Learning through structure: towards deep neuromorphic knowledge graph embeddings
https://github.com/guixiangyu1/KGE-HAKE-master
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/jiean001/models_m/tree/main/hake
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/kamigaito/icml2022
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/kingcong/models/tree/main/hake
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/kingsaint/InductiveExplainableLinkPrediction
https://github.com/knowlab/bi-weekly-paper-presentation
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
https://github.com/kracr/document-level-relation-extraction
https://github.com/liseda-lab/KGE_Predictions_GD
Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies
https://github.com/microsoft/HittER
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
https://github.com/miralab-ustc/qe-cone
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/mniepert/mmkb
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
https://github.com/muhaochen/MTransE
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
https://github.com/muhaochen/MTransE-tf
Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment
https://github.com/oliver-lloyd/kge_param_sens
https://github.com/raphaelsty/mkb
Inductive Entity Representations from Text via Link Prediction
https://github.com/seeyourmind/tkgelib
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
https://github.com/stanfordnlp/cocoa
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
https://github.com/sunhwan-lee/recommender_system
Recommendation Through Mixtures of Heterogeneous Item Relationships
https://github.com/taokz/FedR
https://github.com/tensorflow/neural-structured-learning/tree/master/research/kg_hyp_emb
https://github.com/thu-keg/eakit
https://github.com/uma-pi1/dist-kge
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
https://github.com/uma-pi1/kge-iclr20
https://github.com/webnlg/webnlg-text-to-triples
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.