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 701–710 of 1192 papers

TitleStatusHype
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure—0
Relation Embedding for Personalised POI Recommendation—0
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack—0
Relevance Score of Triplets Using Knowledge Graph Embedding - The Pigweed Triple Scorer at WSDM Cup 2017—0
RelWalk -- A Latent Variable Model Approach to Knowledge Graph Embedding—0
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification—0
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding—0
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows—0
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding—0
Degree-Based Random Walk Approach for Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified