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2106.07476
Cited By
Training Graph Neural Networks with 1000 Layers
14 June 2021
Guohao Li
Matthias Muller
Bernard Ghanem
V. Koltun
GNN
AI4CE
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Papers citing
"Training Graph Neural Networks with 1000 Layers"
50 / 152 papers shown
Title
On the Study of Sample Complexity for Polynomial Neural Networks
Chao Pan
Chuanyi Zhang
CVBM
19
1
0
18 Jul 2022
Open World Learning Graph Convolution for Latency Estimation in Routing Networks
Yifei Jin
Marios Daoutis
Sarunas Girdzijauskas
A. Gionis
8
1
0
08 Jul 2022
Ordered Subgraph Aggregation Networks
Chao Qian
Gaurav Rattan
Floris Geerts
Christopher Morris
Mathias Niepert
22
56
0
22 Jun 2022
Agent-based Graph Neural Networks
Karolis Martinkus
Pál András Papp
Benedikt Schesch
Roger Wattenhofer
LLMAG
GNN
12
17
0
22 Jun 2022
Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks
Jinsong Chen
Boyu Li
Qiuting He
Kun He
25
0
0
21 Jun 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
Kay Liu
Yingtong Dou
Yue Zhao
Xueying Ding
Xiyang Hu
...
Lichao Sun
Jundong Li
George H. Chen
Zhihao Jia
Philip S. Yu
OOD
21
90
0
21 Jun 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
Wei Jin
Xiaorui Liu
Yao Ma
Charu C. Aggarwal
Jiliang Tang
24
41
0
15 Jun 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
Haiyang Yu
Limei Wang
Bokun Wang
Meng Liu
Tianbao Yang
Shuiwang Ji
GNN
AI4CE
14
39
0
14 Jun 2022
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
Guocheng Qian
Yuchen Li
Houwen Peng
Jinjie Mai
Hasan Hammoud
Mohamed Elhoseiny
Bernard Ghanem
3DPC
20
591
0
09 Jun 2022
Alternately Optimized Graph Neural Networks
Haoyu Han
Xiaorui Liu
Haitao Mao
Torkamani Ali
Feng Shi
Victor E. Lee
Jiliang Tang
GNN
26
8
0
08 Jun 2022
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation
Huarui He
Jie Wang
Zhanqiu Zhang
Feng Wu
22
40
0
24 May 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue
Chunhui Zhang
Chuxu Zhang
Hongfu Liu
27
31
0
19 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta
Torsten Hoefler
GNN
32
55
0
19 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
BackLink: Supervised Local Training with Backward Links
Wenzhe Guo
M. Fouda
A. Eltawil
K. Salama
16
2
0
14 May 2022
NDGGNET-A Node Independent Gate based Graph Neural Networks
Ye Tang
Xuesong Yang
Xinrui Liu
Xiwei Zhao
Zhangang Lin
Changping Peng
GNN
17
0
0
11 May 2022
A Survey on Graph Representation Learning Methods
Shima Khoshraftar
A. An
GNN
AI4TS
27
108
0
04 Apr 2022
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks
Kevin Osanlou
J. Frank
Andrei Bursuc
Tristan Cazenave
Éric Jacopin
Christophe Guettier
J. Benton
AI4CE
17
2
0
28 Mar 2022
Revisiting Over-smoothing in BERT from the Perspective of Graph
Han Shi
Jiahui Gao
Hang Xu
Xiaodan Liang
Zhenguo Li
Lingpeng Kong
Stephen M. S. Lee
James T. Kwok
10
71
0
17 Feb 2022
Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection
Yufan Zeng
Jiashan Tang
17
2
0
14 Feb 2022
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings
Krzysztof Sadowski
Michal Szarmach
Eddie Mattia
12
5
0
01 Feb 2022
Graph-based Neural Acceleration for Nonnegative Matrix Factorization
Jens Sjölund
Maria Bånkestad
GNN
25
9
0
01 Feb 2022
Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification
Jianpeng Liao
Qian Tao
Jun Yan
GNN
20
3
0
27 Jan 2022
Efficient Training of Spiking Neural Networks with Temporally-Truncated Local Backpropagation through Time
Wenzhe Guo
M. Fouda
A. Eltawil
K. Salama
10
12
0
13 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
15
2
0
25 Nov 2021
Network In Graph Neural Network
Xiang Song
Runjie Ma
Jiahang Li
Muhan Zhang
David Wipf
GNN
9
10
0
23 Nov 2021
Simplifying approach to Node Classification in Graph Neural Networks
S. Maurya
Xin Liu
T. Murata
12
75
0
12 Nov 2021
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs
Hesham Mostafa
GNN
40
24
0
11 Nov 2021
On Representation Knowledge Distillation for Graph Neural Networks
Chaitanya K. Joshi
Fayao Liu
Xu Xun
Jie Lin
Chuan-Sheng Foo
16
54
0
09 Nov 2021
The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models
A. Hotti
Riccardo Sven Risuleo
Stefan Magureanu
Aref Moradi
J. Lagergren
19
4
0
03 Nov 2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien
Wei-Cheng Chang
Cho-Jui Hsieh
Hsiang-Fu Yu
Jiong Zhang
O. Milenkovic
Inderjit S Dhillon
150
130
0
29 Oct 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Shichang Zhang
Yozen Liu
Yizhou Sun
Neil Shah
20
172
0
17 Oct 2021
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Yangkun Wang
Jiarui Jin
Weinan Zhang
Yongyi Yang
Jiuhai Chen
Quan Gan
Yong Yu
Zheng-Wei Zhang
Zengfeng Huang
David Wipf
AAML
50
12
0
14 Oct 2021
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
Local Augmentation for Graph Neural Networks
Songtao Liu
Rex Ying
Hanze Dong
Lanqing Li
Tingyang Xu
Yu Rong
P. Zhao
Junzhou Huang
Dinghao Wu
28
91
0
08 Sep 2021
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
19
61
0
24 Aug 2021
Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search
Kevin Osanlou
Andrei Bursuc
Christophe Guettier
Tristan Cazenave
Éric Jacopin
GNN
AI4CE
18
11
0
02 Aug 2021
Evaluating Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Bin Cui
GNN
AI4CE
13
31
0
02 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
34
17
0
21 Jul 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
28
60
0
15 Jun 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Yongchao Liu
Houyi Li
Guowei Zhang
Xintan Zeng
Yongyong Li
...
Peng Zhang
Zhao Li
Kefeng Deng
Changhua He
Wenguang Chen
GNN
42
11
0
21 Apr 2021
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes
Yong-Min Shin
Cong Tran
Won-Yong Shin
Xin Cao
SSL
13
6
0
12 Apr 2021
Do We Need Anisotropic Graph Neural Networks?
Shyam A. Tailor
Felix L. Opolka
Pietro Lio'
Nicholas D. Lane
32
33
0
03 Apr 2021
CogDL: A Comprehensive Library for Graph Deep Learning
Yukuo Cen
Zhenyu Hou
Yan Wang
Qibin Chen
Yi Luo
...
Guohao Dai
Yu Wang
Chang Zhou
Hongxia Yang
Jie Tang
GNN
AI4CE
19
16
0
01 Mar 2021
Adaptive Graph Diffusion Networks
Chuxiong Sun
Jie Hu
Hongming Gu
Jinpeng Chen
Mingchuan Yang
GNN
DiffM
AI4CE
15
12
0
30 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
23
113
0
16 Dec 2020
SAIL: Self-Augmented Graph Contrastive Learning
Lu Yu
Shichao Pei
Lizhong Ding
Jun Zhou
Longfei Li
Chuxu Zhang
Xiangliang Zhang
SSL
13
39
0
02 Sep 2020
The Impact of Global Structural Information in Graph Neural Networks Applications
Davide Buffelli
Fabio Vandin
AI4CE
19
8
0
06 Jun 2020
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
183
913
0
02 Mar 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
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