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

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

24 August 2021
Tianlong Chen
Kaixiong Zhou
Keyu Duan
Wenqing Zheng
Peihao Wang
Xia Hu
Zhangyang Wang
    AAML
    GNN
ArXivPDFHTML

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

12 / 12 papers shown
Title
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for
  Over-smoothness in Deep GNNs
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
13
0
0
13 Dec 2023
You Can Have Better Graph Neural Networks by Not Training Weights at
  All: Finding Untrained GNNs Tickets
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
22
14
0
28 Nov 2022
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional
  Networks
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
12
2
0
09 Nov 2022
Space-Time Graph Neural Networks with Stochastic Graph Perturbations
Space-Time Graph Neural Networks with Stochastic Graph Perturbations
Samar Hadou
Charilaos I. Kanatsoulis
Alejandro Ribeiro
19
4
0
28 Oct 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
36
98
0
16 May 2022
Orthogonal Graph Neural Networks
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
L2^22-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You
Tianlong Chen
Zhangyang Wang
Yang Shen
GNN
86
76
0
30 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
178
907
0
02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
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
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Auto-GNN: Neural Architecture Search of Graph Neural Networks
Kaixiong Zhou
Qingquan Song
Xiao Huang
Xia Hu
GNN
56
177
0
07 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
220
1,726
0
09 Jun 2018
Interaction Networks for Learning about Objects, Relations and Physics
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
252
1,394
0
01 Dec 2016
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