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 901–910 of 1192 papers

TitleStatusHype
GLSearch: Maximum Common Subgraph Detection via Learning to Search—0
Fast Generating A Large Number of Gumbel-Max Variables—0
Which way? Direction-Aware Attributed Graph EmbeddingCode0
GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified