Beyond Low-frequency Information in Graph Convolutional Networks

4 January 2021

Papers citing "Beyond Low-frequency Information in Graph Convolutional Networks"

50 / 250 papers shown

Title
What Can We Learn From MIMO Graph Convolutions? Andreas Roth Thomas Liebig 12 0 0 16 May 2025
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness Yoonhyuk Choi Chong-Kwon Kim 34 0 0 13 May 2025
Addressing Noise and Stochasticity in Fraud Detection for Service Networks Wenxin Zhang Ding Xu Xi Xuan Lei Jiang Guangzhen Yao Renda Han Xiangxiang Lang Cuicui Luo 157 0 0 02 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
Understanding GNNs and Homophily in Dynamic Node Classification Michael Ito Danai Koutra Jenna Wiens 87 1 0 29 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 151 1 0 29 Apr 2025
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 166 0 0 28 Apr 2025
Dual-channel Heterophilic Message Passing for Graph Fraud Detection Feiyu Xiong Jingxing Zhong Guangzhen Yao Renda Han Xiaojian Lin Zeyu Zhang Cuicui Luo 36 0 0 19 Apr 2025
H $^3$ GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning Rui Xue Tianfu Wu AI4CE 40 0 0 16 Apr 2025
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations Han Lei Jiaxing Xu Xia Dong Yiping Ke GNN 38 0 0 06 Apr 2025
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors Jun-Gi Jang Jingrui He A. Margenot Hanghang Tong 38 0 0 14 Mar 2025
Path Pooling: Train-Free Structure Enhancement for Efficient Knowledge Graph Retrieval-Augmented Generation Han Wang Yuan Feng Xike Xie S.Kevin Zhou 48 0 0 07 Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs Shujie Li Yuxia Wu Chuan Shi Yuan Fang 44 0 0 05 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 52 1 0 03 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 47 0 0 01 Mar 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 46 1 0 25 Feb 2025
GNN-Coder: Boosting Semantic Code Retrieval with Combined GNNs and Transformer Yufan Ye Pu Pang Ting Zhang Hua Huang 71 0 0 24 Feb 2025
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Yang Gao Hong Yang Y. Chen Junxian Wu Peng Zhang Haishuai Wang 48 0 0 12 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen Chenyang Li Gaichao Li J. Hopcroft Kun He 59 0 0 12 Feb 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Qin Chen Liang Wang Bo Zheng Guojie Song 41 2 0 28 Jan 2025
Rethinking Cancer Gene Identification through Graph Anomaly Analysis Yilong Zang Lingfei Ren Yong Li Zhikang Wang David Selby Zheng Wang Sebastian Vollmer Hongzhi Yin Jiangning Song Jian Wu 47 1 0 23 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network Yuchen Yan Yuzhong Chen Huiyuan Chen Xiaoting Li Zhe Xu Zhichen Zeng Lihui Liu Zhining Liu Hanghang Tong 86 1 0 21 Dec 2024
MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media Muhammad Arslan Manzoor Ruihong Zeng Dilshod Azizov Preslav Nakov Shangsong Liang 79 0 0 12 Dec 2024
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Yushun Dong Patrick Soga Yinhan He Song Wang Jundong Li 99 0 0 10 Dec 2024
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Survey Hugo Attali Davide Buscaldi Nathalie Pernelle AI4CE 71 2 0 26 Nov 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 67 0 0 26 Nov 2024
Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs Yachao Yang Yanfeng Sun Jipeng Guo Junbin Gao Shaofan Wang Fujiao Ju Baocai Yin 39 0 0 18 Nov 2024
Partitioning Message Passing for Graph Fraud Detection Wei Zhuo Zemin Liu Bryan Hooi Bingsheng He Guang Tan Rizal Fathony Jia Chen 118 15 0 16 Nov 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 40 0 0 31 Oct 2024
Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering Zichen Wen Tianyi Wu Yazhou Ren Yawen Ling Chenhang Cui X. Pu Lifang He 31 1 0 30 Oct 2024
Rethinking Graph Transformer Architecture Design for Node Classification Jiajun Zhou Xuanze Chen Chenxuan Xie Yu Shanqing Qi Xuan Xiaoniu Yang 28 0 0 15 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 36 0 0 02 Oct 2024
Fairness without Sensitive Attributes via Knowledge Sharing Hongliang Ni Lei Han Tong Chen S. Sadiq Gianluca Demartini 39 2 0 27 Sep 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 35 4 0 17 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 33 3 0 15 Sep 2024
Redesigning graph filter-based GNNs to relax the homophily assumption Samuel Rey Madeline Navarro Victor M. Tenorio Santiago Segarra Antonio G. Marques 33 1 0 13 Sep 2024
Re-evaluating the Advancements of Heterophilic Graph Learning Sitao Luan Qincheng Lu Chenqing Hua Xinyu Wang Jiaqi Zhu Xiao-Wen Chang 57 2 0 09 Sep 2024
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning Zhixiang Shen Zhao Kang 33 0 0 01 Sep 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs Yuxia Wu Shujie Li Yuan Fang Chuan Shi 44 1 0 26 Aug 2024
SA-GDA: Spectral Augmentation for Graph Domain Adaptation Jinhui Pang Zixuan Wang Jiliang Tang Mingyan Xiao Nan Yin OOD 46 20 0 17 Aug 2024
Neighbor Overlay-Induced Graph Attention Network Tiqiao Wei Ye Yuan GNN 33 1 0 16 Aug 2024
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 48 0 0 09 Aug 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 48 0 0 26 Jul 2024
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network Sukwon Yun Jie Peng Alexandro E. Trevino Chanyoung Park Tianlong Chen 40 1 0 25 Jul 2024
Simplifying the Theory on Over-Smoothing Andreas Roth 51 3 0 16 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu Julian Shun 38 1 0 15 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 55 2 0 03 Jul 2024
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network Yushan Zhu Wen Zhang Yajing Xu Zhen Yao Mingyang Chen Huajun Chen 35 0 0 03 Jul 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers Jinsong Chen Hanpeng Liu J. Hopcroft Kun He 44 1 0 27 Jun 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 44 1 0 27 Jun 2024