https://github.com/DeepGraphLearning/AStarNet/
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
Papers with Code 아카이브
Knowledge Graphs
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A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DeepGraphLearning/RecommenderSystems
Ekar: An Explainable Method for Knowledge Aware Recommendation
https://github.com/DeepGraphLearning/pLogicNet
https://github.com/ElementAI/HypE
https://github.com/Fangyin1994/KCL
https://github.com/Flajt/Veritas
https://github.com/Garrafao/WUGs
DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages
https://github.com/Hasegawa-lab-JAIST/LI_JINGHONG_Hierarchical-Tree-structured-Knowledge-Graph-For-Academic-Insight-Survey
Hierarchical Tree-structured Knowledge Graph For Academic Insight Survey
https://github.com/Hunter-DDM/InvTransE-and-InvRotatE
https://github.com/Jacfger/simple-stuffs
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
https://github.com/JiabenLi/rgcn_paddlepaddle
https://github.com/JohnKurian/R2D2
https://github.com/JudyYe/zero-shot-gcn
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
https://github.com/KXY-PUBLIC/NASE
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
https://github.com/LB0828/conve_reproduce
https://github.com/Leeroo-AI/mergoo
https://github.com/LunaBlack/KGAT-pytorch
https://github.com/MARMOTatZJU/ZSLPR-TIANCHI
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs
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/ManasRMohanty/DS5500-capstone
https://github.com/MaxenceGiraud/TensorTemporalKG
Tucker decomposition-based Temporal Knowledge Graph Completion
https://github.com/MichSchli/RelationPrediction
https://github.com/Microsoft/gated-graph-neural-network-samples
https://github.com/Mind23-2/MindCode-136
ERNIE: Enhanced Language Representation with Informative Entities
https://github.com/MindSpore-paper-code-3/code9/tree/main/dgu
Constructing Temporal Dynamic Knowledge Graphs from Interactive Text-based Games
https://github.com/MindSpore-paper-code-3/code9/tree/main/rotate
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://github.com/MindSpore-scientific-2/code-10/tree/main/RGNN
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
https://github.com/MindSpore-scientific-2/code-10/tree/main/UE-Unified-Embedding-Battle-Tested-Feature
https://github.com/MindSpore-scientific-2/code-11/tree/main/UE-Unified-Embedding-Battle-Tested-Feature
https://github.com/MindSpore-scientific-2/code-2/tree/main/UE-Unified-Embedding-Battle-Tested-Feature
https://github.com/MindSpore-scientific-2/code-8/tree/main/UE-Unified-Embedding-Battle-Tested-Feature
https://github.com/MindSpore-scientific/code-10/tree/main/Last-Query-Transformer-RNN
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
https://github.com/MindSpore-scientific/code-13/tree/main/UE-Unified-Embedding-Battle-Tested-Feature
https://github.com/MindSpore-scientific/code-8/tree/main/Last-Query-Transformer-RNN
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
https://github.com/MindSpore-scientific/code-8/tree/main/shallow-rnns
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.