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 501–510 of 1192 papers

TitleStatusHype
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation RepresentationCode0
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk PredictionCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Graph U-NetsCode0
GraphVAE: Towards Generation of Small Graphs Using Variational AutoencodersCode0
Detect All Abuse! Toward Universal Abusive Language Detection ModelsCode0
GraphZoom: A multi-level spectral approach for accurate and scalable graph embeddingCode0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
Automatic selection of clustering algorithms using supervised graph embeddingCode0
Show:102550
← PrevPage 51 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified