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Not All Neighbors Are Worth Attending to: Graph Selective Attention
  Networks for Semi-supervised Learning

Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning

14 October 2022
Tiantian He
Haicang Zhou
Yew-Soon Ong
Gao Cong
    GNN
ArXivPDFHTML

Papers citing "Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning"

3 / 3 papers shown
Title
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention
  and Natural Contrastive Learning
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning
Wei Han
Hui Chen
Zhen Hai
Soujanya Poria
Lidong Bing
28
12
0
12 Sep 2022
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
217
1,726
0
09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
231
1,801
0
25 Nov 2016
1