SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–560 of 1192 papers

TitleStatusHype
A Unified Framework for Cross-Domain and Cross-System Recommendations—0
Graphfool: Targeted Label Adversarial Attack on Graph Embedding—0
Deep Cut-informed Graph Embedding and Clustering—0
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability—0
Graph Embedding with Rich Information through Heterogeneous Network—0
Deep Contrastive Multiview Network Embedding—0
Graph Embedding with Hierarchical Attentive Membership—0
Graph Embedding with Data Uncertainty—0
Graph Embedding via Topology and Functional Analysis—0
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified