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 541–550 of 1192 papers

TitleStatusHype
GenURL: A General Framework for Unsupervised Representation Learning—0
Meta-Knowledge Transfer for Inductive Knowledge Graph EmbeddingCode1
Unbiased Graph Embedding with Biased Graph Observations—0
A Broader Picture of Random-walk Based Graph EmbeddingCode1
Degree-Based Random Walk Approach for Graph Embedding—0
Boosting Graph Embedding on a Single GPUCode1
Topologically Regularized Data EmbeddingsCode1
PG^2Net: Personalized and Group Preferences Guided Network for Next Place PredictionCode1
SGEN: Single-cell Sequencing Graph Self-supervised Embedding Network—0
ReGVD: Revisiting Graph Neural Networks for Vulnerability DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified