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2004.04333
Cited By

HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely
Labeled Graphs

HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs

9 April 2020

ArXiv (abs)PDF HTML

Papers citing "HopGAT: Hop-aware Supervision Graph Attention Networks for Sparsely Labeled Graphs"

3 / 3 papers shown

Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for
Attributed Graph Clustering

Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph ClusteringIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2020

217

13

0

12 Sep 2020

Graph Polish: A Novel Graph Generation Paradigm for Molecular
Optimization

Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization

388

21

0

14 Aug 2020

Perturb More, Trap More: Understanding Behaviors of Graph Neural
Networks

Perturb More, Trap More: Understanding Behaviors of Graph Neural NetworksNeurocomputing (Neurocomputing), 2020

311

10

0

21 Apr 2020

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