https://github.com/zjunlp/knn-kg
공식 코드Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings
Papers with Code 아카이브
Knowledge Graph Embedding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Alishaba/pykeen-snapshot-ensembles
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings
https://github.com/AutoML-4Paradigm/AutoSF
Bilinear Scoring Function Search for Knowledge Graph Learning
https://github.com/AutoML-4Paradigm/AutoSF/tree/AutoSF-OGB
Bilinear Scoring Function Search for Knowledge Graph Learning
https://github.com/AutoML-4Paradigm/S2S
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
https://github.com/AutoML-Research/S2S
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
https://github.com/DeepGraphLearning/graphvite
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
https://github.com/DeepGraphLearning/pLogicNet
https://github.com/Hunter-DDM/InvTransE-and-InvRotatE
https://github.com/KXY-PUBLIC/NASE
NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
https://github.com/LARS-research/RelEns
Relation-aware Ensemble Learning for Knowledge Graph Embedding
https://github.com/MIRALab-USTC/GraphAKD
Rethinking Graph Convolutional Networks in Knowledge Graph Completion
https://github.com/MIRALab-USTC/KGE-DURA
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://github.com/MS-Mind/MS-Code-01/tree/main/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/MindSpore-paper-code-3/code9/tree/main/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/MurtyShikhar/KBI
Joint Matrix-Tensor Factorization for Knowledge Base Inference
https://github.com/NIVA-Knowledge-Graph/NIVAUC
Knowledge Graph Embedding for Ecotoxicological Effect Prediction
https://github.com/SmartDataAnalytics/PyKEEN
https://github.com/Tigter/ogblwikikg2-RotPro
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
https://github.com/WeidongLi-KG/KBGAN_PyTorch-v0.4.1
https://github.com/a19hu/Social_media_export_chat
https://github.com/adymaharana/DeepPath_PyTorch
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
https://github.com/anilakash/indkgc
Composition-based Multi-Relational Graph Convolutional Networks
https://github.com/anonymous-dense-submission/DensE
https://github.com/ant-research/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
https://github.com/ant-research/parameter_inference_efficient_pie
https://github.com/automl-research/nscaching
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
https://github.com/automl-research/red-gnn
https://github.com/awslabs/dgl-ke
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/bi-graph/emgraph
Probability Calibration for Knowledge Graph Embedding Models
https://github.com/bio-ontology-research-group/EL2Box_embedding
EL Embeddings: Geometric construction of models for the Description Logic EL ++
https://github.com/canlinzhang/siailp
https://github.com/cdhx/KBGAN_for_RotatE
https://github.com/cheungdaven/QuatE
https://github.com/cui0523/Code6/tree/main/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/dair-iitd/kbc-baseline
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.