Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional
Networks

Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks

5 June 2019

Sitao Luan

Papers citing "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"

12 / 12 papers shown

Title
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs Jin Li Qirong Zhang Shuling Xu Xinlong Chen Longkun Guo Yanglan Fu 21 0 0 13 Dec 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lió Yu Guang Wang 22 10 0 09 Nov 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 32 3 0 04 Jun 2023
Distributional Signals for Node Classification in Graph Neural Networks Feng Ji See Hian Lee Kai Zhao Wee Peng Tay Jielong Yang 8 2 0 07 Apr 2023
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 10 61 0 28 Nov 2022
Skeleton-based Action Recognition via Temporal-Channel Aggregation Shengqin Wang Yongji Zhang M. Zhao Hong Qi Kai Wang Fenglin Wei Yu Jiang 23 22 0 31 May 2022
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 25 1 0 16 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 16 61 0 08 Nov 2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 30 110 0 12 Sep 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan GNN 21 95 0 10 Mar 2021
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016