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 651–660 of 1192 papers

TitleStatusHype
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis—0
Combining exogenous and endogenous signals with a semi-supervised co-attention network for early detection of COVID-19 fake tweetsCode0
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph EmbeddingsCode0
Pyramidal Reservoir Graph Neural NetworkCode1
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes AnalysisCode1
KI-BERT: Infusing Knowledge Context for Better Language and Domain Understanding—0
Probabilistic Box Embeddings for Uncertain Knowledge Graph ReasoningCode1
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed—0
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network—0
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified