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AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
International Conference on Information and Knowledge Management (CIKM), 2021
26 April 2021
Yushun Dong
Kaize Ding
B. Jalaeian
Shuiwang Ji
Jundong Li
Re-assign community
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Papers citing
"AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter"
34 / 34 papers shown
Learning from Heterophilic Graphs: A Spectral Theory Perspective on the Impact of Self-Loops and Parallel Edges
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InfraredGP: Efficient Graph Partitioning via Spectral Graph Neural Networks with Negative Corrections
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Meng Qin
Weihua Li
Jinqiang Cui
Sen Pei
171
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0
27 Aug 2025
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
Meng Qin
Jiahong Liu
Irwin King
288
1
0
27 May 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Yao Zou
Dawei Cheng
397
14
0
03 Mar 2025
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation
IEEE transactions on multimedia (IEEE TMM), 2024
Jiaqi Ma
Guo-Sen Xie
Fang Zhao
Zechao Li
388
6
0
23 Dec 2024
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
International Conference on Learning Representations (ICLR), 2024
Yushun Dong
Patrick Soga
Yinhan He
Song Wang
Jundong Li
326
3
0
10 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
Guoguo Ai
Guansong Pang
Hezhe Qiao
Yuan Gao
Hui Yan
624
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0
26 Nov 2024
Partitioning Message Passing for Graph Fraud Detection
International Conference on Learning Representations (ICLR), 2024
Wei Zhuo
Zemin Liu
Bryan Hooi
Bingsheng He
Guang Tan
Rizal Fathony
Jia Chen
462
44
0
16 Nov 2024
A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
Ningyi Liao
Haoyu Liu
Zulun Zhu
Siqiang Luo
L. Lakshmanan
467
2
0
14 Jun 2024
Heterophilous Distribution Propagation for Graph Neural Networks
Zhuonan Zheng
Sheng Zhou
Hongjia Xu
Ming Gu
Yilun Xu
Ao Li
Yuhong Li
Jingjun Gu
Jiajun Bu
284
3
0
31 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Yixin Liu
Shiyuan Li
Yu Zheng
Qingfeng Chen
Chengqi Zhang
Shirui Pan
319
45
0
27 May 2024
Differentiable Cluster Graph Neural Network
Yanfei Dong
Mohammed Haroon Dupty
Lambert Deng
Zhuanghua Liu
Yong Liang Goh
Wee Sun Lee
GNN
236
3
0
25 May 2024
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem
The Web Conference (WWW), 2024
Chen Huang
Haoyang Li
Yifan Zhang
Wenqiang Lei
Jiancheng Lv
397
10
0
26 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
Jingwei Guo
Kaizhu Huang
Xinping Yi
Zixian Su
Rui Zhang
402
6
0
17 Jan 2024
Graph Neural Networks with Diverse Spectral Filtering
The Web Conference (WWW), 2023
Jingwei Guo
Kaizhu Huang
Xinping Yi
Rui Zhang
460
19
0
14 Dec 2023
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
292
4
0
05 Jul 2023
Migrate Demographic Group For Fair GNNs
Lele Fu
Tianchi Liao
Jialong Chen
Jing Bian
Zibin Zheng
Chuan Chen
304
0
0
07 Jun 2023
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering
Knowledge Discovery and Data Mining (KDD), 2023
Jiayan Guo
Lun Du
Xu Chen
Xiaojun Ma
Qiang Fu
Shi Han
Dongmei Zhang
Yan Zhang
351
27
0
06 Jun 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
Pattern Recognition (Pattern Recogn.), 2023
Linxuan Song
Wenxuan Tu
Sihang Zhou
Xinwang Liu
En Zhu
251
10
0
14 Mar 2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
International Conference on Information and Knowledge Management (CIKM), 2022
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
422
14
0
20 Feb 2023
Homophily-oriented Heterogeneous Graph Rewiring
The Web Conference (WWW), 2023
Jiayan Guo
Lun Du
Wendong Bi
Qiang Fu
Xiaojun Ma
Xu Chen
Shi Han
Dongmei Zhang
Yan Zhang
274
42
0
13 Feb 2023
A Survey on Spectral Graph Neural Networks
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
362
39
0
11 Feb 2023
Node-oriented Spectral Filtering for Graph Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Shuai Zheng
Zhenfeng Zhu
Zhizhe Liu
Youru Li
Yao-Min Zhao
355
28
0
07 Dec 2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yixin Liu
Yizhen Zheng
Daokun Zhang
V. Lee
Shirui Pan
230
110
0
25 Nov 2022
Improving Your Graph Neural Networks: A High-Frequency Booster
Jiaqi Sun
Lin Zhang
Shenglin Zhao
Yujiu Yang
256
9
0
15 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information
Xiao Liu
Lijun Zhang
Hui Guan
GNN
252
4
0
08 Oct 2022
Rethinking Graph Neural Networks for Anomaly Detection
International Conference on Machine Learning (ICML), 2022
Jianheng Tang
Jiajin Li
Zi-Chao Gao
Jia Li
310
348
0
31 May 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
International Conference on Machine Learning (ICML), 2022
Xiang Li
Renyu Zhu
Yao Cheng
Caihua Shan
Siqiang Luo
Dongsheng Li
Wei Qian
256
274
0
15 May 2022
A Survey on Graph Representation Learning Methods
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Shima Khoshraftar
A. An
GNN
AI4TS
396
216
0
04 Apr 2022
Robust Graph Representation Learning for Local Corruption Recovery
The Web Conference (WWW), 2022
Bingxin Zhou
Yuanhong Jiang
Yu Guang Wang
Jingwei Liang
Junbin Gao
Shirui Pan
Xiaoqun Zhang
OOD
361
16
0
10 Feb 2022
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
Vijay Lingam
C. Ekbote
Manan Sharma
Rahul Ragesh
Arun Shankar Iyer
Sundararajan Sellamanickam
249
8
0
07 Dec 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Neural Information Processing Systems (NeurIPS), 2021
Mingguo He
Zhewei Wei
Zengfeng Huang
Hongteng Xu
476
331
0
21 Jun 2021
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications
Knowledge Discovery and Data Mining (KDD), 2021
Jiong Zhu
Junchen Jin
Donald Loveland
Michael T. Schaub
Danai Koutra
AAML
457
44
0
14 Jun 2021
Gaussian Processes on Graphs via Spectral Kernel Learning
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2020
Yin-Cong Zhi
Yin Cheng Ng
Xiaowen Dong
338
40
0
12 Jun 2020
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