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 911–920 of 1192 papers

TitleStatusHype
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification—0
Graph-based Multi-view Binary Learning for Image Clustering—0
Gaussian Embedding of Large-scale Attributed GraphsCode0
Conditional Structure Generation through Graph Variational Generative Adversarial NetsCode0
Product Knowledge Graph Embedding for E-commerce—0
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding—0
An End-to-End Framework for Cold Question Routing in Community Question Answering Services—0
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified