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 1151–1160 of 1192 papers

TitleStatusHype
Efficient Parallel Translating Embedding For Knowledge GraphsCode0
ParaGraphE: A Library for Parallel Knowledge Graph EmbeddingCode0
Semi-supervised multi-label feature selection via label correlation analysis with l1-norm graph embeddingCode0
Kernel classification of connectomes based on earth mover's distance between graph spectra—0
Knowledge Graph Representation with Jointly Structural and Textual Encoding—0
Jointly Embedding Knowledge Graphs and Logical Rules—0
From Node Embedding To Community EmbeddingCode0
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction—0
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm—0
TransG : A Generative Model for Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified