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2006.07739
Cited By
DeeperGCN: All You Need to Train Deeper GCNs
13 June 2020
Guohao Li
Chenxin Xiong
Ali K. Thabet
Bernard Ghanem
GNN
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Papers citing
"DeeperGCN: All You Need to Train Deeper GCNs"
37 / 37 papers shown
Title
BRepFormer: Transformer-Based B-rep Geometric Feature Recognition
Yongkang Dai
Xiaoshui Huang
Yunpeng Bai
Hao Guo
Hongping Gan
Ling Yang
Yilei Shi
39
0
0
10 Apr 2025
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Mohit Pandey
G. Subbaraj
Artem Cherkasov
Martin Ester
Emmanuel Bengio
AI4CE
60
1
0
08 Mar 2025
GraCo -- A Graph Composer for Integrated Circuits
Stefan Uhlich
Andrea Bonetti
Arun Venkitaraman
Ali Momeni
Ryoga Matsuo
Chia-Yu Hsieh
Eisaku Ohbuchi
Lorenzo Servadei
GNN
83
0
0
21 Nov 2024
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
Tianlang Chen
Shengjie Luo
Di He
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
AI4CE
31
5
0
24 Jun 2024
Investigating Generalization Behaviours of Generative Flow Networks
Lazar Atanackovic
Emmanuel Bengio
AI4CE
25
2
0
07 Feb 2024
Jointly spatial-temporal representation learning for individual trajectories
Fei Huang
Jianrong Lv
Yang Yue
AI4TS
67
0
0
07 Dec 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
Dingshuo Chen
Yanqiao Zhu
Jieyu Zhang
Yuanqi Du
Zhixun Li
Qiang Liu
Shu Wu
Liang Wang
21
15
0
15 Sep 2023
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations
Yili Chen
Zhengyu Li
Zheng Wan
Hui Yu
Xian Wei
21
0
0
25 Jul 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNN
AI4TS
AI4CE
31
23
0
23 May 2023
A Comparison of Graph Neural Networks for Malware Classification
Vrinda Malhotra
Katerina Potika
Mark Stamp
17
3
0
22 Mar 2023
Diffusing Graph Attention
Daniel Glickman
Eran Yahav
GNN
28
3
0
01 Mar 2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Yuchen Wang
Jinghui Zhang
Zhengjie Huang
Weibin Li
Shi Feng
...
Dianhai Yu
Fang Dong
Jiahui Jin
Beilun Wang
Junzhou Luo
20
38
0
21 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing
Yunchong Song
Cheng Zhou
Xinbing Wang
Zhouhan Lin
16
61
0
03 Feb 2023
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin
Tom Verbin
Nadav Cohen
19
10
0
29 Nov 2022
Spatial Graph Convolution Neural Networks for Water Distribution Systems
Inaam Ashraf
L. Hermes
André Artelt
Barbara Hammer
GNN
8
7
0
17 Nov 2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation
Zehong Wang
Qi Li
Donghua Yu
25
2
0
03 Oct 2022
Region-enhanced Deep Graph Convolutional Networks for Rumor Detection
Ge Wang
Li Tan
Tianbao Song
Wen Wang
Ziliang Shang
GNN
29
1
0
15 Jun 2022
Graph Attention Multi-Layer Perceptron
Wentao Zhang
Ziqi Yin
Zeang Sheng
Yang Li
Wenbin Ouyang
Xiaosen Li
Yangyu Tao
Zhi-Xin Yang
Bin Cui
GNN
AI4CE
22
97
0
09 Jun 2022
Heterogeneous Information Network based Default Analysis on Banking Micro and Small Enterprise Users
Zheng-Chao Zhang
Yingsheng Ji
Jiachen Shen
Xi Zhang
Guang-Yu Yang
17
5
0
24 Apr 2022
Structure-Aware Transformer for Graph Representation Learning
Dexiong Chen
Leslie O’Bray
Karsten M. Borgwardt
26
236
0
07 Feb 2022
GRPE: Relative Positional Encoding for Graph Transformer
Wonpyo Park
Woonggi Chang
Donggeon Lee
Juntae Kim
Seung-won Hwang
39
74
0
30 Jan 2022
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
Sung Une Lee
Boming Xia
Yongan Zhang
Ang Li
Yingyan Lin
GNN
47
47
0
22 Dec 2021
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions
Mattia Soldan
Alejandro Pardo
Juan Carlos León Alcázar
Fabian Caba Heilbron
Chen Zhao
Silvio Giancola
Bernard Ghanem
VGen
32
95
0
01 Dec 2021
AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning
Rishikesh Magar
Yuyang Wang
Cooper Lorsung
Chen Liang
Hariharan Ramasubramanian
Peiyuan Li
A. Farimani
22
27
0
30 Nov 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
15
2
0
25 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
24
61
0
08 Nov 2021
Global Self-Attention as a Replacement for Graph Convolution
Md Shamim Hussain
Mohammed J. Zaki
D. Subramanian
ViT
19
122
0
07 Aug 2021
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
Jonathan Godwin
Michael Schaarschmidt
Alex Gaunt
Alvaro Sanchez-Gonzalez
Yulia Rubanova
Petar Velivcković
J. Kirkpatrick
Peter W. Battaglia
23
60
0
15 Jun 2021
Training Graph Neural Networks with 1000 Layers
Guohao Li
Matthias Muller
Bernard Ghanem
V. Koltun
GNN
AI4CE
17
235
0
14 Jun 2021
Do Transformers Really Perform Bad for Graph Representation?
Chengxuan Ying
Tianle Cai
Shengjie Luo
Shuxin Zheng
Guolin Ke
Di He
Yanming Shen
Tie-Yan Liu
GNN
21
431
0
09 Jun 2021
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution
Boyan Xu
Hujun Yin
GNN
27
9
0
21 May 2021
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
Xinliang Wu
Mengying Jiang
Guizhong Liu
GNN
22
7
0
14 Mar 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
Haoran You
Zhihan Lu
Zijian Zhou
Y. Fu
Yingyan Lin
GNN
33
30
0
01 Mar 2021
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
Kuangqi Zhou
Yanfei Dong
Kaixin Wang
W. Lee
Bryan Hooi
Huan Xu
Jiashi Feng
GNN
BDL
31
88
0
12 Jun 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
229
1,935
0
09 Jun 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
113
864
0
03 Feb 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,801
0
25 Nov 2016
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