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 691–700 of 1192 papers

TitleStatusHype
RECS: Robust Graph Embedding Using Connection Subgraphs—0
Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining—0
Deep Learning on Knowledge Graph for Recommender System: A Survey—0
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition—0
Region Graph Embedding Network for Zero-Shot Learning—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
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding—0
Relational representation learning with spike trains—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified