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 341–350 of 1192 papers

TitleStatusHype
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis—0
A Relational Tucker Decomposition for Multi-Relational Link Prediction—0
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning—0
A Comprehensive Survey on Community Detection with Deep Learning—0
3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching—0
GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features—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
Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified