Dirichlet Energy Constrained Learning for Deep Graph Neural Networks

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks

6 July 2021

Daochen Zha

Papers citing "Dirichlet Energy Constrained Learning for Deep Graph Neural Networks"

16 / 16 papers shown

Title
What makes a good feedforward computational graph? Alex Vitvitskyi J. G. Araújo Marc Lackenby Petar Velickovic 80 1 0 10 Feb 2025
Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics Keqin Wang Yulong Yang Ishan Saha Christine Allen-Blanchette 51 1 0 31 Jan 2025
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 33 2 0 17 Sep 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
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 32 5 0 06 Mar 2024
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lió Yu Guang Wang 27 10 0 09 Nov 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 29 11 0 31 Aug 2023
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks Kaixiong Zhou Zhenyu (Allen) Zhang Sheng-Wei Chen Tianlong Chen Xiao Huang Zhangyang Wang Xia Hu GNN 20 2 0 09 Nov 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 22 10 0 14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 28 57 0 14 Oct 2022
Towards Similarity-Aware Time-Series Classification Daochen Zha Kwei-Herng Lai Kaixiong Zhou Xia Hu AI4TS 21 24 0 05 Jan 2022
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam C. Ekbote Manan Sharma Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 24 5 0 07 Dec 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 41 34 0 23 Sep 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 19 61 0 24 Aug 2021
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 56 178 0 07 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,941 0 09 Jun 2018