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 701–710 of 1192 papers

TitleStatusHype
A Unified Framework for Cross-Domain and Cross-System Recommendations—0
Deep Contrastive Multiview Network Embedding—0
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associationsCode0
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
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification—0
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance—0
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
Graph Representation Learning on Tissue-Specific Multi-Omics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified