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
Spectral Graph-Based Method of Multimodal Word Embedding—0
Spectral Graph Reasoning Network for Hyperspectral Image Classification—0
Spectral Journey: How Transformers Predict the Shortest Path—0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples—0
A Comprehensive Survey on Deep Graph Representation Learning—0
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion—0
Spoofing Detection in the Physical Layer with Graph Neural Networks—0
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions—0
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified