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 601–610 of 1192 papers

TitleStatusHype
Investigating Extensions to Random Walk Based Graph Embedding—0
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning—0
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms—0
Structured Query Construction via Knowledge Graph Embedding—0
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding—0
Using Locally Corresponding CAD Models for Dense 3D Reconstructions From a Single Image—0
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation—0
Iterative Deep Graph Learning for Graph Neural Networks—0
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications—0
Joint embedding in Hierarchical distance and semantic representation learning for link prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified