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 631–640 of 1192 papers

TitleStatusHype
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces—0
Knowledge Graph Embedding Bi-Vector Models for Symmetric Relation—0
Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy—0
Cross Version Defect Prediction with Class Dependency Embeddings—0
Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding—0
Knowledge Graph Embedding Compression—0
A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs—0
Cross-validation of matching correlation analysis by resampling matching weights—0
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules—0
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified