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On Graph Neural Networks versus Graph-Augmented MLPs

On Graph Neural Networks versus Graph-Augmented MLPs

28 October 2020
Lei Chen
Zhengdao Chen
Joan Bruna
ArXivPDFHTML

Papers citing "On Graph Neural Networks versus Graph-Augmented MLPs"

12 / 12 papers shown
Title
Sparse Decomposition of Graph Neural Networks
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
P. Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
27
0
0
25 Oct 2024
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level
  Graph Representation Learning
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning
Hanxuan Yang
Qingchao Kong
Wenji Mao
BDL
13
0
0
09 Dec 2023
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
40
19
0
16 Aug 2023
Equivariant Polynomials for Graph Neural Networks
Equivariant Polynomials for Graph Neural Networks
Omri Puny
Derek Lim
B. Kiani
Haggai Maron
Y. Lipman
24
31
0
22 Feb 2023
On the Ability of Graph Neural Networks to Model Interactions Between
  Vertices
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin
Tom Verbin
Nadav Cohen
19
10
0
29 Nov 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
Yijun Tian
Chuxu Zhang
Zhichun Guo
Xiangliang Zhang
Nitesh V. Chawla
41
14
0
22 Aug 2022
Information Gain Propagation: a new way to Graph Active Learning with
  Soft Labels
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels
Wentao Zhang
Yexin Wang
Zhenbang You
Meng Cao
Ping-Chia Huang
Jiulong Shan
Zhi-Xin Yang
Bin Cui
AAML
32
19
0
02 Mar 2022
On Provable Benefits of Depth in Training Graph Convolutional Networks
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong
M. Ramezani
M. Mahdavi
21
73
0
28 Oct 2021
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
GNN
56
1,174
0
04 Nov 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
184
171
0
09 Mar 2020
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
1,944
0
09 Jun 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
247
3,236
0
24 Nov 2016
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