SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

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Showing 121–130 of 1192 papers

TitleStatusHype
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph EmbeddingCode1
Kronecker Decomposition for Knowledge Graph EmbeddingsCode1
DeepGG: a Deep Graph GeneratorCode1
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction PerspectiveCode1
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on GraphsCode1
Marius: Learning Massive Graph Embeddings on a Single MachineCode1
An energy-based model for neuro-symbolic reasoning on knowledge graphsCode1
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement LearningCode1
Bilinear Scoring Function Search for Knowledge Graph LearningCode1
CausE: Towards Causal Knowledge Graph EmbeddingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified