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 331–340 of 1192 papers

TitleStatusHype
Approximate spectral clustering with eigenvector selection and self-tuned kCode0
Graph isomorphism UNetCode0
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
Graph Embedding on Biomedical Networks: Methods, Applications, and EvaluationsCode0
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical StructuresCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
Graph Embedding Techniques, Applications, and Performance: A SurveyCode0
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
Symbolic Graph Embedding using Frequent Pattern MiningCode0
Robust Graph Representation Learning for Local Corruption RecoveryCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified