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 801–810 of 1192 papers

TitleStatusHype
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources—0
Curvature Regularization to Prevent Distortion in Graph Embedding—0
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement LearningCode0
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph EmbeddingCode0
Neural graph embeddings as explicit low-rank matrix factorization for link prediction—0
Automatic selection of clustering algorithms using supervised graph embeddingCode0
Association Rules Enhanced Knowledge Graph Attention Network—0
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models—0
Massively Parallel Graph Drawing and Representation LearningCode0
Runtime Performances Benchmark for Knowledge Graph Embedding Methods—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified