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 591–600 of 1192 papers

TitleStatusHype
HopfE: Knowledge Graph Representation Learning using Inverse Hopf FibrationsCode0
DGEM: A New Dual-modal Graph Embedding Method in Recommendation System—0
Hyperparameter-free and Explainable Whole Graph EmbeddingCode0
ECLARE: Extreme Classification with Label Graph CorrelationsCode1
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification—0
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance—0
Graph Representation Learning on Tissue-Specific Multi-Omics—0
MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation LearningCode0
A Survey of Knowledge Graph Embedding and Their Applications—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified