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 1131–1140 of 1192 papers

TitleStatusHype
Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion—0
Watch Your Step: Learning Node Embeddings via Graph AttentionCode0
Graph Embedding with Rich Information through Heterogeneous Network—0
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation—0
Premise Selection for Theorem Proving by Deep Graph EmbeddingCode0
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications—0
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis—0
Answering Visual-Relational Queries in Web-Extracted Knowledge GraphsCode0
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity DetectionCode0
Spectral Graph-Based Method of Multimodal Word Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified