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 591–600 of 1192 papers

TitleStatusHype
An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM—0
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning—0
Croppable Knowledge Graph Embedding—0
An End-to-End Framework for Cold Question Routing in Community Question Answering Services—0
Cross Domain Model Compression by Structurally Weight Sharing—0
Multi-view Graph Convolutional Networks with Differentiable Node Selection—0
Multi-View Graph Embedding Using Randomized Shortest Paths—0
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis—0
Cross-Modal Contextualized Hidden State Projection Method for Expanding of Taxonomic Graphs—0
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified