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 361–370 of 1192 papers

TitleStatusHype
Graph embedding using multi-layer adjacent point merging model—0
EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion—0
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction—0
Neural IR Meets Graph Embedding: A Ranking Model for Product Search—0
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications—0
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning—0
Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note—0
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification—0
Representing Hierarchical Structure by Using Cone Embedding—0
Class Granularity: How richly does your knowledge graph represent the real world?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified