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 81–90 of 1192 papers

TitleStatusHype
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule LearningCode1
Bipartite Graph Embedding via Mutual Information MaximizationCode1
Approximating Network Centrality Measures Using Node Embedding and Machine LearningCode1
Efficient Non-Sampling Knowledge Graph EmbeddingCode1
Bilinear Scoring Function Search for Knowledge Graph LearningCode1
Efficient, Simple and Automated Negative Sampling for Knowledge Graph EmbeddingCode1
Evaluating Node Embeddings of Complex NetworksCode1
Explaining Neural Matrix Factorization with Gradient RollbackCode1
A Representation Learning Framework for Property GraphsCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified