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 481–490 of 1192 papers

TitleStatusHype
Potential destination discovery for low predictability individuals based on knowledge graph—0
A Survey on Visual Transfer Learning using Knowledge Graphs—0
Faithiful Embeddings for EL++ Knowledge BasesCode0
Revisiting Global Pooling through the Lens of Optimal TransportCode1
Representing Long-Range Context for Graph Neural Networks with Global AttentionCode1
Classic Graph Structural Features Outperform Factorization-Based Graph Embedding Methods on Community LabelingCode0
Detection of Correlated Alarms Using Graph Embedding—0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion—0
Contrastive Laplacian EigenmapsCode1
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph EmbeddingsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified