Beyond Low-frequency Information in Graph Convolutional Networks

4 January 2021

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

50 / 260 papers shown

Title
IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Siyi Sun David Selby Yunchuan Huang Sebastian Vollmer Seth Flaxman Anisoara Calinescu 54 0 0 10 Jun 2025
IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder Di Lin Wanjing Ren Xuanbin Li Rui Zhang 21 0 0 07 Jun 2025
Topology-aware Neural Flux Prediction Guided by Physics Haoyang Jiang Jindong Wang Xingquan Zhu Yi He AI4CE 60 0 0 06 Jun 2025
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research M. Park Sunghyun Choi Jaeseung Heo Eunhyeok Park Dongwoo Kim AI4CE 118 1 0 05 Jun 2025
Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery Buyun He X. Jiang Qi Wu Hao Liu Yingguang Yang Yong Liao 48 0 0 01 Jun 2025
Improving the Effective Receptive Field of Message-Passing Neural Networks Shahaf E. Finder Ron Shapira Weber Moshe Eliasof Oren Freifeld Eran Treister 74 0 0 29 May 2025
Graph Positional Autoencoders as Self-supervised Learners Yang Liu Deyu Bo Wenxuan Cao Yuan Fang Yawen Li C. Shi SSL 77 1 0 29 May 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory Dominik Fuchsgruber Tom Wollschlager Johannes Bordne Stephan Günnemann 68 0 0 28 May 2025
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation Meng Qin Jiahong Liu Irwin King 36 0 0 27 May 2025
Graph Wave Networks Juwei Yue Haikuo Li Jiawei Sheng Yihan Guo Xinghua Zhang Chuan Zhou Tingwen Liu Li Guo 250 1 0 26 May 2025
Language Model-Enhanced Message Passing for Heterophilic Graph Learning Wenjun Wang Dawei Cheng 47 0 0 26 May 2025
What Can We Learn From MIMO Graph Convolutions? Andreas Roth Thomas Liebig 112 0 0 16 May 2025
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness Yoonhyuk Choi Chong-Kwon Kim 102 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 398 0 0 02 May 2025
Understanding GNNs and Homophily in Dynamic Node Classification Michael Ito Danai Koutra Jenna Wiens 121 2 0 29 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 387 2 0 29 Apr 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 320 0 0 29 Apr 2025
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 579 0 0 28 Apr 2025
Dual-channel Heterophilic Message Passing for Graph Fraud Detection Wentao Zhang Jingxing Zhong Guangzhen Yao Renda Han Xiaojian Lin Zeyu Zhang Cuicui Luo 69 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 109 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 88 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 67 0 0 14 Mar 2025
Path Pooling: Training-Free Structure Enhancement for Efficient Knowledge Graph Retrieval-Augmented Generation Han Wang Yuan Feng Xike Xie S.Kevin Zhou 109 0 0 07 Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs Shujie Li Yuxia Wu Chuan Shi Yuan Fang 88 0 0 05 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 134 1 0 03 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 117 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 117 2 0 25 Feb 2025
GNN-Coder: Boosting Semantic Code Retrieval with Combined GNNs and Transformer Yufan Ye Pu Pang Ting Zhang Hua Huang 111 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 89 1 0 12 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen Chenyang Li Gaichao Li John E. Hopcroft Kun He 150 1 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 173 3 0 28 Jan 2025
Rethinking Cancer Gene Identification through Graph Anomaly Analysis Yilong Zang Lingfei Ren Yongqian Li Zhikang Wang David Selby Zheng Wang Sebastian Vollmer Hongzhi Yin Jiangning Song Jian Wu 129 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 178 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 113 1 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 128 0 0 10 Dec 2024
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Survey Hugo Attali Davide Buscaldi Nathalie Pernelle AI4CE 168 4 0 26 Nov 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 210 1 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 122 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 195 18 0 16 Nov 2024
Distributed-Order Fractional Graph Operating Network Kai Zhao Xuhao Li Qiyu Kang Feng Ji Qinxu Ding Yanan Zhao Wenfei Liang Wee Peng Tay GNN 26 2 0 08 Nov 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 92 1 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 80 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 66 0 0 15 Oct 2024
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms Julius von Rohrscheidt Bastian Rieck 113 1 0 03 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 90 0 0 02 Oct 2024
Fairness without Sensitive Attributes via Knowledge Sharing Hongliang Ni Lei Han Tong Chen S. Sadiq Gianluca Demartini 115 4 0 27 Sep 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 83 4 0 17 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 85 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 80 4 0 13 Sep 2024
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning Zhixiang Shen Zhao Kang 88 5 0 01 Sep 2024