Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study

24 August 2021

Papers citing "Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study"

36 / 36 papers shown

Title
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks C. Wang Xinyang Liu Dongsheng Wang Hao Zhang Bo Chen Mingyuan Zhou BDL 23 0 0 13 Oct 2024
Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization Guangrui Yang Ming Li Han Feng Xiaosheng Zhuang GNN OOD BDL 30 2 0 11 Oct 2024
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks Xing Ai Guanyu Zhu Yulin Zhu Yu Zheng Gaolei Li Jianhua Li Kai Zhou AAML 26 0 0 29 Aug 2024
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion Qinggang Zhang Keyu Duan Junnan Dong Pai Zheng Xiao Huang 33 3 0 03 Jun 2024
Unsupervised Optimisation of GNNs for Node Clustering Will Leeney Ryan McConville 29 0 0 12 Feb 2024
Towards Causal Classification: A Comprehensive Study on Graph Neural Networks Simi Job Xiaohui Tao Taotao Cai Lin Li Haoran Xie Jianming Yong CML 20 0 0 27 Jan 2024
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
Are GATs Out of Balance? Nimrah Mustafa Aleksandar Bojchevski R. Burkholz 46 4 0 11 Oct 2023
Nonlinear Correct and Smooth for Semi-Supervised Learning Yuanhang Shao Xiuwen Liu 16 1 0 09 Oct 2023
Searching for High-Value Molecules Using Reinforcement Learning and Transformers Raj Ghugare Santiago Miret Adriana Hugessen Mariano Phielipp Glen Berseth 11 16 0 04 Oct 2023
Iterative Graph Filtering Network for 3D Human Pose Estimation Zaedul Islam A. Ben Hamza 3DH 40 3 0 29 Jul 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang GNN 31 5 0 18 Jun 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization Kaixuan Chen Shunyu Liu Tongtian Zhu Tongya Zheng Haofei Zhang Zunlei Feng Jingwen Ye Mingli Song 32 14 0 31 May 2023
RELS-DQN: A Robust and Efficient Local Search Framework for Combinatorial Optimization Yuanhang Shao Tonmoy Dey Nikola Vučković Luke Van Popering Alan Kuhnle 35 0 0 11 Apr 2023
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction Wenqing Zheng E-Wen Huang Nikhil S. Rao Zhangyang Wang Karthik Subbian 18 4 0 27 Feb 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 34 14 0 28 Nov 2022
EGRC-Net: Embedding-induced Graph Refinement Clustering Network Zhihao Peng Hui Liu Yuheng Jia Junhui Hou 22 6 0 19 Nov 2022
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks Kaixiong Zhou Zhenyu (Allen) Zhang Sheng-Wei Chen Tianlong Chen Xiao Huang Zhangyang Wang Xia Hu GNN 20 2 0 09 Nov 2022
Space-Time Graph Neural Networks with Stochastic Graph Perturbations Samar Hadou Charilaos I. Kanatsoulis Alejandro Ribeiro 22 4 0 28 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 22 10 0 14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 28 57 0 14 Oct 2022
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model Yirui Liu Xinghao Qiao Liying Wang Jessica Lam BDL 20 3 0 12 Aug 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks Chuang Liu Xueqi Ma Yinbing Zhan Liang Ding Dapeng Tao Bo Du Wenbin Hu Danilo P. Mandic 27 28 0 18 Jul 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 20 4 0 09 Jun 2022
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing Jie Chen Weiqi Liu Zhizhong Huang Junbin Gao Junping Zhang Jian Pu 21 3 0 30 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 41 104 0 16 May 2022
Symbolic Learning to Optimize: Towards Interpretability and Scalability Wenqing Zheng Tianlong Chen Ting-Kuei Hu Zhangyang Wang 37 18 0 13 Mar 2022
Local2Global: A distributed approach for scaling representation learning on graphs Lucas G. S. Jeub Giovanni Colavizza Xiaowen Dong Marya Bazzi Mihai Cucuringu 16 1 0 12 Jan 2022
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks Hao Xue Kaixiong Zhou Tianlong Chen Kai Guo Xia Hu Yi Chang Xin Wang AAML 16 15 0 28 Oct 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Xia Hu Yu Li Yi Chang Xin Wang 41 34 0 23 Sep 2021
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 90 82 0 30 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 913 0 02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,077 0 13 Feb 2020
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 56 178 0 07 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 231 1,941 0 09 Jun 2018
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016