ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2105.04550
  4. Cited By
Optimization of Graph Neural Networks: Implicit Acceleration by Skip
  Connections and More Depth

Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth

10 May 2021
Keyulu Xu
Mozhi Zhang
Stefanie Jegelka
Kenji Kawaguchi
    GNN
ArXivPDFHTML

Papers citing "Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth"

14 / 14 papers shown
Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Z. Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei-dong Jin
AI4TS
AI4CE
140
1
0
29 Mar 2025
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
30
8
0
15 Dec 2023
Centered Self-Attention Layers
Centered Self-Attention Layers
Ameen Ali
Tomer Galanti
Lior Wolf
28
6
0
02 Jun 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis
Qian Tao
Zhen Wang
Wenyuan Yu
Yaliang Li
Zhewei Wei
27
5
0
24 Mar 2023
Graph Neural Networks with Learnable and Optimal Polynomial Bases
Graph Neural Networks with Learnable and Optimal Polynomial Bases
Y. Guo
Zhewei Wei
27
29
0
24 Feb 2023
Graph Neural Networks are Inherently Good Generalizers: Insights by
  Bridging GNNs and MLPs
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
Chenxiao Yang
Qitian Wu
Jiahua Wang
Junchi Yan
AI4CE
19
51
0
18 Dec 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse
  Computations
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations
Zirui Liu
Sheng-Wei Chen
Kaixiong Zhou
Daochen Zha
Xiao Huang
Xia Hu
32
14
0
19 Oct 2022
Structure and position-aware graph neural network for airway labeling
Structure and position-aware graph neural network for airway labeling
Weiyi Xie
Colin Jacobs
Jean-Paul Charbonnier
Bram van Ginneken
27
11
0
12 Jan 2022
Scalable deeper graph neural networks for high-performance materials
  property prediction
Scalable deeper graph neural networks for high-performance materials property prediction
Sadman Sadeed Omee
Steph-Yves M. Louis
Nihang Fu
Lai Wei
Sourin Dey
Rongzhi Dong
Qinyang Li
Jianjun Hu
68
73
0
25 Sep 2021
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
Tianlong Chen
Kaixiong Zhou
Keyu Duan
Wenqing Zheng
Peihao Wang
Xia Hu
Zhangyang Wang
AAML
GNN
27
61
0
24 Aug 2021
How Powerful is Graph Convolution for Recommendation?
How Powerful is Graph Convolution for Recommendation?
Yifei Shen
Yongji Wu
Yao Zhang
Caihua Shan
Jun Zhang
Khaled B. Letaief
Dongsheng Li
GNN
28
99
0
17 Aug 2021
Evaluating Deep Graph Neural Networks
Evaluating Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Bin Cui
GNN
AI4CE
18
31
0
02 Aug 2021
Training Graph Neural Networks with 1000 Layers
Training Graph Neural Networks with 1000 Layers
Guohao Li
Matthias Muller
Bernard Ghanem
V. Koltun
GNN
AI4CE
36
235
0
14 Jun 2021
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
267
1,945
0
09 Jun 2018
1