SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

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Papers

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Showing 1171–1180 of 1192 papers

TitleStatusHype
Context-Dependent Knowledge Graph Embedding—0
Scalable Out-of-Sample Extension of Graph Embeddings Using Deep Neural Networks—0
Knowledge Graph Embedding via Dynamic Mapping MatrixCode0
Semantically Smooth Knowledge Graph Embedding—0
Knowlege Graph Embedding by Flexible Translation—0
Cross-validation of matching correlation analysis by resampling matching weights—0
LINE: Large-scale Information Network EmbeddingCode1
A simple coding for cross-domain matching with dimension reduction via spectral graph embedding—0
Transition-based Knowledge Graph Embedding with Relational Mapping Properties—0
A Deep Graph Embedding Network Model for Face Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified