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 781–790 of 1192 papers

TitleStatusHype
Learning multi-resolution representations of research patterns in bibliographic networksCode0
Graph Embedding for Recommendation against Attribute Inference Attacks—0
Unified Framework for Feature Extraction based on Contrastive Learning—0
RelWalk A Latent Variable Model Approach to Knowledge Graph EmbeddingCode0
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction—0
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data—0
Discrete Knowledge Graph Embedding based on Discrete Optimization—0
MöbiusE: Knowledge Graph Embedding on Möbius Ring—0
A Survey on Embedding Dynamic Graphs—0
Graph Embedding via Topology and Functional Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified