Model Degradation Hinders Deep Graph Neural Networks

Model Degradation Hinders Deep Graph Neural Networks

9 June 2022

Papers citing "Model Degradation Hinders Deep Graph Neural Networks"

18 / 18 papers shown

Title
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Zhixun Li Dingshuo Chen Tong Zhao D. Wang Hongrui Liu Zhiqiang Zhang Jun Zhou Jeffrey Xu Yu SSL 90 0 0 10 Feb 2025
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks Jie Peng Runlin Lei Zhewei Wei 13 0 0 07 Aug 2024
TSC: A Simple Two-Sided Constraint against Over-Smoothing Furong Peng Kang Liu Xuan Lu Yuhua Qian HongRen Yan Chao Ma 40 0 0 06 Aug 2024
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation Shiyuan Li Yixin Liu Qingfeng Chen Geoffrey I. Webb Shirui Pan SSL 27 4 0 29 Jul 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs M. Park Jaeseung Heo Dongwoo Kim 22 0 0 11 Mar 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 20 12 0 07 Dec 2023
Are GATs Out of Balance? Nimrah Mustafa Aleksandar Bojchevski R. Burkholz 41 4 0 11 Oct 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information Wenzhuo Zhou Annie Qu Keiland W Cooper Norbert Fortin B. Shahbaba 17 1 0 23 Sep 2023
Decoupled Local Aggregation for Point Cloud Learning Binjie Chen Yunzhou Xia Yu Zang Cheng-Yu Wang Jonathan Li 3DPC 13 9 0 31 Aug 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 9 30 0 04 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 29 3 0 04 Jun 2023
Learning Strong Graph Neural Networks with Weak Information Yixin Liu Kaize Ding Jianling Wang V. Lee Huan Liu Shirui Pan 13 40 0 29 May 2023
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning Kai Wang Siqiang Luo Dan Lin 17 4 0 17 May 2023
Neighborhood Homophily-based Graph Convolutional Network Sheng Gong Jiajun Zhou Chenxuan Xie Qi Xuan GNN 14 7 0 24 Jan 2023
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 45 10 0 29 Oct 2022
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax Hao-Ren Yao Nairen Cao Katina Russell D. Chang O. Frieder Jeremy T. Fineman SSL 11 1 0 01 Sep 2022
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 141 222 0 23 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 226 1,726 0 09 Jun 2018