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 881–890 of 1192 papers

TitleStatusHype
Fast Sequence-Based Embedding with Diffusion GraphsCode1
A Physical Embedding Model for Knowledge GraphsCode0
GEFF: Graph Embedding for Functional Fingerprinting—0
ExEm: Expert Embedding using dominating set theory with deep learning approachesCode0
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health ClassificationCode0
Knowledge Graph Embedding via Graph Attenuated Attention Networks—0
Probability Calibration for Knowledge Graph Embedding Models—0
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified