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 871–880 of 1192 papers

TitleStatusHype
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding—0
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding—0
Pointer Networks with Q-Learning for Combinatorial Optimization—0
Authorship Recognition with Short-Text using Graph-based Techniques—0
Potential destination discovery for low predictability individuals based on knowledge graph—0
PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems—0
PPPNE: Personalized proximity preserved network embedding—0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings—0
Predicting event attendance exploring social influence—0
Transition-based Knowledge Graph Embedding with Relational Mapping Properties—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified