Graph Neural Networks with Learnable and Optimal Polynomial Bases

24 February 2023

Papers citing "Graph Neural Networks with Learnable and Optimal Polynomial Bases"

24 / 24 papers shown

Title
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Xunkai Li Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 35 0 0 02 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 86 0 0 02 May 2025
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection Yunhui Liu Jiashun Cheng Jia Li Fugee Tsung Hongzhi Yin Tieke He 29 0 0 19 Apr 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 53 0 0 20 Feb 2025
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach Xunkai Li Daohan Su Zhengyu Wu Guang Zeng Hongchao Qin Rong-Hua Li Guoren Wang AI4CE 31 0 0 21 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 0 0 26 Dec 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 36 0 0 26 Jul 2024
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer Jiahong Ma Mingguo He Zhewei Wei 38 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 34 2 0 14 Jun 2024
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions Alireza Afzal Aghaei 27 47 0 11 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Y. Lin Ronen Talmon Ron Levie 34 0 0 03 Jun 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 45 8 0 29 May 2024
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition Nian Liu Xiaoxin He T. Laurent Francesco Di Giovanni Michael M. Bronstein Xavier Bresson 35 1 0 22 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 40 17 0 21 May 2024
Spectral GNN via Two-dimensional (2-D) Graph Convolution Guoming Li Jian Yang Shangsong Liang Dongsheng Luo GNN 36 2 0 06 Apr 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
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 32 5 0 06 Mar 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction Kangkang Lu Yanhua Yu Hao Fei Xuan Li Zixuan Yang Zirui Guo Meiyu Liang Mengran Yin Tat-Seng Chua 19 3 0 28 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 24 3 0 17 Jan 2024
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Xunkai Li Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 27 12 0 07 Dec 2023
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks Keke Huang Pietro Lió 16 1 0 30 Nov 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 79 3 0 04 Jun 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials Mingguo He Zhewei Wei Shi Feng Zhengjie Huang Weibin Li Yu Sun Dianhai Yu 19 6 0 31 May 2023
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 70 179 0 23 May 2022