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 261–270 of 1192 papers

TitleStatusHype
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives—0
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
Semantic tradeoff for heterogeneous graph embedding—0
Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction—0
Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model—0
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy TasksCode0
InGram: Inductive Knowledge Graph Embedding via Relation GraphsCode1
Node Embedding from Neural Hamiltonian Orbits in Graph Neural NetworksCode1
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation LearningCode0
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with TransformersCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified