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 551–560 of 1192 papers

TitleStatusHype
Residual2Vec: Debiasing graph embedding with random graphsCode0
Scalable Graph Embedding LearningOn A Single GPU—0
Fast Attributed Graph Embedding via Density of StatesCode0
Hybrid Graph Embedding Techniques in Estimated Time of Arrival Task—0
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph EmbeddingCode1
Hybrid Pointer Networks for Traveling Salesman Problems OptimizationCode1
Inference Attacks Against Graph Neural NetworksCode1
An energy-based model for neuro-symbolic reasoning on knowledge graphsCode1
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding—0
Convolutional Networks on Enhanced Message-Passing Graph Improve Semi-Supervised Classification with Few Labels—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified