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 931–940 of 1192 papers

TitleStatusHype
Region Graph Embedding Network for Zero-Shot Learning—0
Asymmetric Transitivity Preserving Graph Embedding—0
A Survey on Visual Transfer Learning using Knowledge Graphs—0
ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding—0
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs—0
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding—0
Wasserstein Coupled Graph Learning for Cross-Modal Retrieval—0
Relational representation learning with spike trains—0
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure—0
A Survey on Signed Graph Embedding: Methods and Applications—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified