Simple and Deep Graph Convolutional Networks

4 July 2020

Papers citing "Simple and Deep Graph Convolutional Networks"

50 / 101 papers shown

Title
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting Zibo Liu Parshin Shojaee Chandan K. Reddy AI4TS AI4CE 17 9 0 30 May 2023
Self-attention Dual Embedding for Graphs with Heterophily Yurui Lai Taiyan Zhang Rui Fan GNN 19 0 0 28 May 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing Zhaoliang Chen Zhihao Wu Zhe-Hui Lin Shiping Wang Claudia Plant Wenzhong Guo 19 18 0 14 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 23 139 0 11 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 25 4 0 06 Apr 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 14 16 0 06 Mar 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 8 6 0 20 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 16 16 0 17 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 8 61 0 03 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 12 18 0 03 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 10 16 0 02 Feb 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 6 5 0 26 Jan 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 8 0 0 25 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 21 1 0 16 Jan 2023
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 D. Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 20 14 0 28 Nov 2022
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning Siyi Li Mingrui Zhang M. Piggott 20 27 0 24 Nov 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 35 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 17 0 0 26 Oct 2022
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP Jie Chen Shouzhen Chen Mingyuan Bai Junbin Gao Junping Zhang Jian Pu 16 10 0 18 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 17 12 0 05 Oct 2022
Efficient block contrastive learning via parameter-free meta-node approximation Gayan K. Kulatilleke Marius Portmann Shekhar S. Chandra 13 3 0 28 Sep 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 18 14 0 22 Aug 2022
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Schaub Danai Koutra 22 6 0 10 Jul 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network Andreas Roth Thomas Liebig GNN 28 13 0 01 Jul 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective Wei Jin Xiaorui Liu Yao Ma Charu C. Aggarwal Jiliang Tang 16 41 0 15 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 11 39 0 09 Jun 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei Zhen Wang Yaliang Li Bolin Ding Zhewei Wei AAML 6 38 0 27 May 2022
Not too little, not too much: a theoretical analysis of graph (over)smoothing Nicolas Keriven 15 88 0 24 May 2022
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification Pasquale Antonante Heath Nilsen Luca Carlone 24 23 0 22 May 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily Xiang Li Renyu Zhu Yao Cheng Caihua Shan Siqiang Luo Dongsheng Li Wei Qian 8 181 0 15 May 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 29 108 0 21 Apr 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu Kenji Kawaguchi Bryan Hooi Yiwei Wang X. Xiao GNN 20 37 0 22 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 20 12 0 10 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion Md. Khaledur Rahman Abhigya Agrawal A. Azad GNN BDL 17 2 0 05 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 20 101 0 04 Feb 2022
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks P. Esser L. C. Vankadara D. Ghoshdastidar 16 53 0 07 Dec 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 11 2 0 25 Nov 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 17 1 0 16 Nov 2021
Implicit SVD for Graph Representation Learning Sami Abu-El-Haija Hesham Mostafa Marcel Nassar V. Crespi Greg Ver Steeg Aram Galstyan 24 5 0 11 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 8 61 0 08 Nov 2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily Lun Du Xiaozhou Shi Qiang Fu Xiaojun Ma Hengyu Liu Shi Han Dongmei Zhang 9 104 0 29 Oct 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 6 73 0 28 Oct 2021
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling A. Gruber M. Gunzburger L. Ju Zhu Wang GNN 16 62 0 05 Oct 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 41 34 0 23 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 25 110 0 12 Sep 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 14 83 0 26 Aug 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 11 10 0 19 Feb 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 139 828 0 28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 217 1,726 0 09 Jun 2018