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 561–570 of 1192 papers

TitleStatusHype
Deep Adversarial Network Alignment—0
A unified framework based on graph consensus term for multi-view learning—0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
A Deep Graph Embedding Network Model for Face Recognition—0
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization—0
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure—0
Graph embedding using multi-layer adjacent point merging model—0
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection—0
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts—0
Neural graph embeddings as explicit low-rank matrix factorization for link prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified