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AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter

AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter

26 April 2021
Yushun Dong
Kaize Ding
B. Jalaeian
Shuiwang Ji
Jundong Li
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Papers citing "AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter"

12 / 12 papers shown
Title
Effective High-order Graph Representation Learning for Credit Card Fraud Detection
Yao Zou
Dawei Cheng
52
1
0
03 Mar 2025
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
Guoguo Ai
Guansong Pang
Hezhe Qiao
Yuan Gao
Hui Yan
67
0
0
26 Nov 2024
Muti-scale Graph Neural Network with Signed-attention for Social Bot
  Detection: A Frequency Perspective
Muti-scale Graph Neural Network with Signed-attention for Social Bot Detection: A Frequency Perspective
S. Shi
Kai Qiao
Zhengyan Wang
J. Yang
Baojie Song
Jian Chen
Binghai Yan
28
3
0
05 Jul 2023
A Survey on Spectral Graph Neural Networks
A Survey on Spectral Graph Neural Networks
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
31
24
0
11 Feb 2023
Rethinking Graph Neural Networks for Anomaly Detection
Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang
Jiajin Li
Zi-Chao Gao
Jia Li
69
205
0
31 May 2022
Finding Global Homophily in Graph Neural Networks When Meeting
  Heterophily
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li
Renyu Zhu
Yao Cheng
Caihua Shan
Siqiang Luo
Dongsheng Li
Wei Qian
13
181
0
15 May 2022
Robust Graph Representation Learning for Local Corruption Recovery
Robust Graph Representation Learning for Local Corruption Recovery
Bingxin Zhou
Yuanhong Jiang
Yu Guang Wang
Jingwei Liang
Junbin Gao
Shirui Pan
Xiaoqun Zhang
OOD
30
12
0
10 Feb 2022
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
Vijay Lingam
C. Ekbote
Manan Sharma
Rahul Ragesh
Arun Shankar Iyer
Sundararajan Sellamanickam
28
6
0
07 Dec 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein
  Approximation
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He
Zhewei Wei
Zengfeng Huang
Hongteng Xu
30
211
0
21 Jun 2021
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
27
35
0
14 Jun 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
91
558
0
04 Jan 2021
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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