How Framelets Enhance Graph Neural Networks

How Framelets Enhance Graph Neural Networks

13 February 2021

Junbin Gao

Guido Montúfar

Papers citing "How Framelets Enhance Graph Neural Networks"

19 / 19 papers shown

Title
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 23 0 0 08 Oct 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 44 21 0 21 May 2024
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lió Yu Guang Wang 29 10 0 09 Nov 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition Hongxiang Gao Xiangyao Wang Zhenghua Chen Min-man Wu Zhipeng Cai Lulu Zhao Jianqing Li Chengyu Liu 35 9 0 22 Oct 2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond Zhiqi Shao Dai Shi Andi Han Yi Guo Qianchuan Zhao Junbin Gao 30 11 0 06 Sep 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 31 3 0 15 Aug 2023
How Curvature Enhance the Adaptation Power of Framelet GCNs Dai Shi Yi Guo Zhiqi Shao Junbin Gao 26 14 0 19 Jul 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 39 4 0 13 Jul 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion Dai Shi Zhiqi Shao Yi Guo Qianchuan Zhao Junbin Gao 34 1 0 25 May 2023
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 70 13 0 08 Oct 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 43 0 0 31 May 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 22 3 0 30 May 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 33 12 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 28 6 0 07 Dec 2021
Graph Denoising with Framelet Regularizer Bingxin Zhou Ruikun Li Xuebin Zheng Yu Guang Wang Junbin Gao 15 14 0 05 Nov 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 35 7 0 10 Oct 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 30 11 0 03 Aug 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks Cristian Bodnar Fabrizio Frasca Yu Guang Wang N. Otter Guido Montúfar Pietro Lió M. Bronstein 33 247 0 04 Mar 2021
Decimated Framelet System on Graphs and Fast G-Framelet Transforms Xuebin Zheng Bingxin Zhou Yu Guang Wang Xiaosheng Zhuang 40 35 0 12 Dec 2020