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 531–540 of 1192 papers

TitleStatusHype
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows—0
Graph U-Net—0
GraphTTS: graph-to-sequence modelling in neural text-to-speech—0
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification—0
Authorship Recognition with Short-Text using Graph-based Techniques—0
Graph Similarities and Dual Approach for Sequential Text-to-Image Retrieval—0
Graph Representation Learning on Tissue-Specific Multi-Omics—0
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding—0
Graph Relation Aware Continual Learning—0
Deep Learning on Knowledge Graph for Recommender System: A Survey—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified