https://github.com/davendw49/gakg
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Papers with Code 아카이브
Knowledge Graph Embedding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dellixx/TransERR
TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation
https://github.com/dice-group/hybridfc
https://github.com/dmlc/dgl/tree/master/examples/pytorch/compGCN
Composition-based Multi-Relational Graph Convolutional Networks
https://github.com/dodo47/SpikE
Learning through structure: towards deep neuromorphic knowledge graph embeddings
https://github.com/gengchenmai/se-kge
https://github.com/graphcore-research/bess-kge
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion
https://github.com/guixiangyu1/KGE-HAKE-master
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/hkuds/recdiff
https://github.com/hsientzucheng/MKR.PyTorch
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
https://github.com/hughxiouge/CompoundE3D
Knowledge Graph Embedding with 3D Compound Geometric Transformations
https://github.com/hwwang55/KGCN
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
https://github.com/jaemuzzin/plagnn
https://github.com/jiean001/models_m/tree/main/hake
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/jiean001/models_m/tree/main/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/johannesmessner/boxte
https://github.com/kingcong/models/tree/main/hake
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/knowlab/bi-weekly-paper-presentation
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
https://github.com/lars-research/red-gnn
https://github.com/lhrlab/dhge
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing
https://github.com/logic-reasoning/Paper-Reading
https://github.com/marina-sp/reinform
https://github.com/migalkin/NodePiece
https://github.com/migalkin/NodePiece/tree/main/ogb
https://github.com/mindspore-ai/models/tree/master/research/nlp/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
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/pyg-team/pytorch_geometric/blob/master/torch_geometric/nn/kge/rotate.py
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/pykeen/ilpc2022
Composition-based Multi-Relational Graph Convolutional Networks
https://github.com/snap-stanford/ConE
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/taokz/FedR
https://github.com/thu-keg/eakit
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/tranhungnghiep/AnalyzingKGEmbeddings
https://github.com/uma-pi1/dist-kge
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
https://github.com/woodcutter1998/ogb-grail-mod
https://github.com/yzhangee/NSCaching
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.