DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

25 July 2019

Papers citing "DropEdge: Towards Deep Graph Convolutional Networks on Node Classification"

50 / 229 papers shown

Title
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation Shuang Wang B. Eravcı Rustam Guliyev Hakan Ferhatosmanoglu GNN MQ 29 6 0 29 Aug 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field Kun Wang Guohao Li Shilong Wang Guibin Zhang Kaidi Wang Yang You Xiaojiang Peng Keli Zhang Yang Wang 37 8 0 19 Aug 2023
PVG: Progressive Vision Graph for Vision Recognition Jiafu Wu Jian Li Jiangning Zhang Boshen Zhang M. Chi Yabiao Wang Chengjie Wang ViT 28 13 0 01 Aug 2023
How Curvature Enhance the Adaptation Power of Framelet GCNs Dai Shi Yi Guo Zhiqi Shao Junbin Gao 31 14 0 19 Jul 2023
Frameless Graph Knowledge Distillation Dai Shi Zhiqi Shao Yi Guo Junbin Gao 39 4 0 13 Jul 2023
Evolving Computation Graphs Andreea Deac Jian Tang 29 1 0 22 Jun 2023
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness Jianpeng Liao Jun Yan Qian Tao 15 1 0 07 Jun 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 38 6 0 05 Jun 2023
A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey Raffaele Paolino Aras Bacho Gitta Kutyniok 39 30 0 22 May 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs Jintang Li Sheng Tian Ruofan Wu Liang Zhu Welong Zhao Changhua Meng Liang Chen Zibin Zheng Hongzhi Yin 39 10 0 18 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 39 4 0 12 May 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities Yongcheng Jing Xinchao Wang Dacheng Tao 52 21 0 23 Apr 2023
ID-MixGCL: Identity Mixup for Graph Contrastive Learning Gehang Zhang Yu Bowen Jiangxia Cao Xinghua Zhang Shuaiyi Nie Chuan Zhou Tingwen Liu 43 0 0 20 Apr 2023
Boosting long-term forecasting performance for continuous-time dynamic graph networks via data augmentation Yu Tian Mingjie Zhu Jiachi Luo Song Li 32 0 0 12 Apr 2023
Distributional Signals for Node Classification in Graph Neural Networks Feng Ji See Hian Lee Kai Zhao Wee Peng Tay Jielong Yang 16 2 0 07 Apr 2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations Edoardo DÁmico Khalil Muhammad E. Tragos Barry Smyth N. Hurley A. Lawlor GNN 32 6 0 28 Mar 2023
Structural Imbalance Aware Graph Augmentation Learning Zulong Liu Kejia Chen Zheng Liu 29 0 0 24 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 41 186 0 20 Mar 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov Denis Kuznedelev A. Malinin Artem Babenko Liudmila Prokhorenkova OOD 19 3 0 27 Feb 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks Indro Spinelli Riccardo Bianchini Simone Scardapane 31 1 0 22 Feb 2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer Qiheng Mao Zemin Liu Chenghao Liu Jianling Sun 45 56 0 22 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 32 64 0 03 Feb 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 23 0 0 25 Jan 2023
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information Qingyun Sun Jianxin Li Beining Yang Xingcheng Fu Hao Peng Philip S. Yu 25 11 0 30 Dec 2022
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 47 88 0 27 Dec 2022
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 24 8 0 20 Dec 2022
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 24 51 0 18 Dec 2022
Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction Junlong Liu Xichen Shang Qianli Ma 30 13 0 04 Dec 2022
Hierarchical Model Selection for Graph Neural Netoworks Yuga Oishi Ken Kaneiwa 28 0 0 01 Dec 2022
FakeEdge: Alleviate Dataset Shift in Link Prediction Kaiwen Dong Yijun Tian Zhichun Guo Yang Yang Nitesh V. Chawla 23 12 0 29 Nov 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 63 0 28 Nov 2022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 47 14 0 28 Nov 2022
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout Hongjun Wang Jiyuan Chen Tongbo Pan Z. Fan Boyuan Zhang Renhe Jiang Lingyu Zhang Yi Xie Zhongyin Wang Xuan Song GNN 29 8 0 28 Nov 2022
Tired of Over-smoothing? Stress Graph Drawing Is All You Need! Xue Li Yuanzhi Cheng 19 0 0 19 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 40 0 17 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective Weichen Zhao Chenguang Wang Congying Han Tiande Guo 33 1 0 12 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui Qitian Wu Jiancan Wu Daixin Wang Longfei Li An Zhang Xiang Wang Xiangnan He OOD 17 33 0 05 Nov 2022
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging N. Shehata Wulfie Bain Ben Glocker 52 2 0 29 Oct 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 61 10 0 29 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 36 0 0 26 Oct 2022
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision Jiongyu Guo Defang Chen Can Wang 22 3 0 25 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 32 15 0 19 Oct 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 35 10 0 14 Oct 2022
Graph Neural Network Surrogate for Seismic Reliability Analysis of Highway Bridge Systems Tong Liu Hadi Meidani 30 10 0 12 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks Jian Kang Qinghai Zhou Hanghang Tong UQCV 41 21 0 12 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 61 0 07 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 32 48 0 02 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 27 2 0 30 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 25 14 0 24 Sep 2022
A Class-Aware Representation Refinement Framework for Graph Classification Jiaxing Xu Jinjie Ni Yiping Ke GNN 29 4 0 02 Sep 2022