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Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs

Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs

26 March 2021
Sean Li
Dongwoo Kim
Qing Wang
    GNN
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Papers citing "Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs"

6 / 6 papers shown
Title
Simplified PCNet with Robustness
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
37
5
0
06 Mar 2024
GraphGLOW: Universal and Generalizable Structure Learning for Graph
  Neural Networks
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Wentao Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
24
12
0
20 Jun 2023
Augmentation-Free Graph Contrastive Learning with Performance Guarantee
Augmentation-Free Graph Contrastive Learning with Performance Guarantee
Haonan Wang
Jieyu Zhang
Qi Zhu
Wei Huang
30
31
0
11 Apr 2022
How does Heterophily Impact the Robustness of Graph Neural Networks?
  Theoretical Connections and Practical Implications
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications
Jiong Zhu
Junchen Jin
Donald Loveland
Michael T. Schaub
Danai Koutra
AAML
29
35
0
14 Jun 2021
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
836
0
28 Sep 2019
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