SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

Showing 101110 of 1192 papers

TitleStatusHype
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph EmbeddingCode1
A Broader Picture of Random-walk Based Graph EmbeddingCode1
Boosting Graph Embedding on a Single GPUCode1
Topologically Regularized Data EmbeddingsCode1
PG^2Net: Personalized and Group Preferences Guided Network for Next Place PredictionCode1
ReGVD: Revisiting Graph Neural Networks for Vulnerability DetectionCode1
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph EmbeddingCode1
Inference Attacks Against Graph Neural NetworksCode1
Hybrid Pointer Networks for Traveling Salesman Problems OptimizationCode1
An energy-based model for neuro-symbolic reasoning on knowledge graphsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified