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 281–290 of 1192 papers

TitleStatusHype
Graph Embedding based Wireless Link Scheduling with Few Training SamplesCode0
Graph Embedding on Biomedical Networks: Methods, Applications, and EvaluationsCode0
Graph-Embedded Subspace Support Vector Data DescriptionCode0
Force-directed graph embedding with hops distanceCode0
Graph Embedding Augmented Skill Rating SystemCode0
Graph Embedding Techniques, Applications, and Performance: A SurveyCode0
Connector 0.5: A unified framework for graph representation learningCode0
A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of ThingsCode0
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural NetworksCode0
Conditional Structure Generation through Graph Variational Generative Adversarial NetsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified