BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation

21 June 2021

Papers citing "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"

50 / 136 papers shown

Title
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 44 0 0 01 May 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 127 1 0 29 Apr 2025
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection Yunhui Liu Jiashun Cheng Jia Li Fugee Tsung Jia Li Fugee Tsung Hongzhi Yin Tao Zheng Jianhua Zhao Tieke He 31 0 0 19 Apr 2025
Robust and Noise-resilient Long-Term Prediction of Spatiotemporal Data Using Variational Mode Graph Neural Networks with 3D Attention Osama Ahmad Zubair Khalid 3DPC 36 0 0 09 Apr 2025
CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection Songran Bai Xiaolong Zheng D. Zeng 40 1 0 03 Apr 2025
Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learning Yilong Wang J. Zhang Tianxiang Zhao Suhang Wang AAML 39 0 0 23 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 52 1 0 03 Mar 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 60 0 0 20 Feb 2025
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Karish Grover Geoffrey J. Gordon Christos Faloutsos 68 0 0 12 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally X. Wang Muhan Zhang 107 0 0 04 Feb 2025
Spectro-Riemannian Graph Neural Networks Karish Grover Haiyang Yu Xiang Song Qi Zhu Han Xie V. Ioannidis Christos Faloutsos 63 1 0 01 Feb 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Xin He Y. Wang Wenqi Fan Xu Shen Xin Juan Rui Miao Xin Wang 68 0 0 26 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 36 0 0 08 Jan 2025
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos Changwoon Choi Jeongjun Kim Geonho Cha Minkwan Kim Dongyoon Wee Young Min Kim 3DH 47 1 0 26 Dec 2024
Rethinking Cancer Gene Identification through Graph Anomaly Analysis Yilong Zang Lingfei Ren Y. Li Zhikang Wang David Selby Zheng Wang Sebastian Vollmer Hongzhi Yin Jiangning Song J. Wu 42 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 84 0 0 21 Dec 2024
Asymmetric Learning for Spectral Graph Neural Networks Fangbing Liu Qing Wang 88 0 0 16 Dec 2024
From ChebNet to ChebGibbsNet Jie M. Zhang Min-Te Sun GNN 69 1 0 02 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 67 0 0 26 Nov 2024
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 3DPC 77 0 0 21 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 37 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
UniGAD: Unifying Multi-level Graph Anomaly Detection Yiqing Lin Jianheng Tang Chenyi Zi Haihong Zhao Yuan Yao Jia Li 31 1 0 10 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
DiRW: Path-Aware Digraph Learning for Heterophily Daohan Su Xunkai Li Zhenjun Li Yinping Liao Rong-Hua Li Guoren Wang 35 1 0 14 Oct 2024
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks Jiong Zhu Gaotang Li Yao-An Yang Jing Zhu Xuehao Cui Danai Koutra 30 3 0 26 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 30 2 0 15 Sep 2024
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning Kaizhe Fan Quanjun Li 37 0 0 12 Sep 2024
Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks Sitao Luan Qincheng Lu Chenqing Hua X. Wang Jiaqi Zhu Xiao-Wen Chang Guy Wolf Jian Tang 57 2 0 09 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks Mustafa Coşkun A. Grama Mehmet Koyutürk 37 0 0 07 Sep 2024
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer Jiahong Ma Mingguo He Zhewei Wei 44 2 0 19 Jul 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 39 2 0 14 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach Haoyu Han Juanhui Li Wei Huang Xianfeng Tang Hanqing Lu Chen Luo Hui Liu Jiliang Tang 42 5 0 05 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Y. Lin Ronen Talmon Ron Levie 39 0 0 03 Jun 2024
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection Fan Xu Nan Wang Hao Wu Xuezhi Wen Dalin Zhang Siyang Lu Binyong Li Wei Gong Hai Wan Xibin Zhao 41 1 0 02 Jun 2024
Posterior Label Smoothing for Node Classification Jaeseung Heo M. Park Dongwoo Kim UQCV 38 0 0 01 Jun 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 45 8 0 29 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 40 10 0 27 May 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lió 42 21 0 21 May 2024
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models Xu Shen Yili Wang Kaixiong Zhou Shirui Pan Xin Wang 32 6 0 24 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark J. Coates 37 3 0 21 Apr 2024
Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis Haodong Wen Bodong Du Ruixun Liu Deyu Meng Xiangyong Cao 47 0 0 16 Apr 2024
Characterizing the Influence of Topology on Graph Learning Tasks Kailong Wu Yule Xie Jiaxin Ding Yuxiang Ren Luoyi Fu Xinbing Wang Cheng Zhou 28 0 0 11 Apr 2024
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction Jhon A. Castro-Correa Jhony H. Giraldo Mohsen Badiey Fragkiskos D. Malliaros 30 7 0 28 Mar 2024
ChebMixer: Efficient Graph Representation Learning with MLP Mixer Xiaoyan Kui Haonan Yan Qinsong Li Liming Chen Beiji Zou 32 0 0 25 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lió 41 3 0 12 Mar 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs M. Park Jaeseung Heo Dongwoo Kim 29 0 0 11 Mar 2024
Local Vertex Colouring Graph Neural Networks Shouheng Li Dongwoo Kim Qing Wang 63 1 0 10 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 37 5 0 06 Mar 2024
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention Qincheng Lu Jiaqi Zhu Sitao Luan Xiaomeng Chang 33 6 0 03 Mar 2024