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 741–750 of 1192 papers

TitleStatusHype
Scientific Dataset Discovery via Topic-level Recommendation—0
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions—0
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering—0
Self Supervised Clustering of Traffic Scenes using Graph Representations—0
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery—0
Self-Supervised Graph Embedding Clustering—0
Semantically Enhanced Models for Commonsense Knowledge Acquisition—0
Semantically Smooth Knowledge Graph Embedding—0
Semantic tradeoff for heterogeneous graph embedding—0
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs—0
Show:102550
← PrevPage 75 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified