https://github.com/jiean001/models_m/tree/main/hake
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Papers with Code 아카이브
Triple Classification
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Triple classification aims to judge whether a given triple (h, r, t) is correct or not with respect to the knowledge graph.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/shaoxiongji/awesome-knowledge-graph
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
https://github.com/zjukg/umaea
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment
https://github.com/zjunlp/promptkgc
LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings
https://github.com/zjunlp/relphormer
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
https://github.com/zyjcs/KGE-HAE
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.