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"

31 / 31 papers shown

Title
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering Bingheng Li Erlin Pan Zhao Kang 19 30 0 22 Dec 2023
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 29 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 29 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 81 3 0 04 Jun 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 22 29 0 22 May 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
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua X. Chang Doina Precup GNN 19 32 0 21 Dec 2022
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature K. Nguyen Hieu Nong T. Nguyen Nhat Ho Khuong N. Nguyen Vinh Phu Nguyen 27 62 0 28 Nov 2022
Revisiting Heterophily For Graph Neural Networks Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 41 179 0 14 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 22 1 0 30 Sep 2022
Skeleton-based Action Recognition via Temporal-Channel Aggregation Shengqin Wang Yongji Zhang M. Zhao Hong Qi Kai Wang Fenglin Wei Yu Jiang 28 23 0 31 May 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich R. Kannan Viktor Prasanna Long Jin Ren Chen GNN 23 142 0 19 Jan 2022
Multi-scale Graph Convolutional Networks with Self-Attention Zhilong Xiong Jia Cai GNN 37 2 0 04 Dec 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 35 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 26 61 0 08 Nov 2021
Improving Peer Assessment with Graph Convolutional Networks Alireza A. Namanloo Julie Thorpe Amirali Salehi-Abari GNN 23 2 0 04 Nov 2021
Scalable deeper graph neural networks for high-performance materials property prediction Sadman Sadeed Omee Steph-Yves M. Louis Nihang Fu Lai Wei Sourin Dey Rongzhi Dong Qinyang Li Jianjun Hu 68 73 0 25 Sep 2021
Search For Deep Graph Neural Networks Guosheng Feng Chunnan Wang Hongzhi Wang GNN 29 23 0 21 Sep 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 35 112 0 12 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 27 61 0 24 Aug 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 23 100 0 10 Mar 2021
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 24 30 0 16 Dec 2020
AutoGraph: Automated Graph Neural Network Yaoman Li Irwin King GNN 27 43 0 23 Nov 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations H. Hafidi Mounir Ghogho P. Ciblat A. Swami SSL 20 53 0 15 Jul 2020
Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction Haoxing Lin Rufan Bai Weijia Jia Xinyu Yang Yongjian You HAI AI4TS 18 63 0 16 Jun 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono Taiji Suzuki AI4CE 37 31 0 15 Jun 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lió Petar Velickovic GNN 15 649 0 12 Apr 2020
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 19 149 0 02 Dec 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 33 80 0 14 Aug 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 247 3,236 0 24 Nov 2016