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 1141–1150 of 1192 papers

TitleStatusHype
Soft Retargeting Network for Click Through Rate Prediction—0
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection—0
Graph embedding using multi-layer adjacent point merging model—0
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure—0
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization—0
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images—0
Graph Embedding via Topology and Functional Analysis—0
Graph Embedding with Data Uncertainty—0
Graph Embedding with Hierarchical Attentive Membership—0
Graph Embedding with Rich Information through Heterogeneous Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified