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1907.03199
Cited By
What graph neural networks cannot learn: depth vs width
6 July 2019
Andreas Loukas
GNN
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Papers citing
"What graph neural networks cannot learn: depth vs width"
16 / 66 papers shown
Title
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
Xiao Wang
C. Shi
Houye Ji
Peng Cui
AI4CE
52
197
0
28 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo
Wei Cheng
Wenchao Yu
Bo Zong
Jingchao Ni
Haifeng Chen
Xiang Zhang
OOD
16
257
0
13 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
19
186
0
30 Oct 2020
Expressive Power of Invariant and Equivariant Graph Neural Networks
Waïss Azizian
Marc Lelarge
25
111
0
28 Jun 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Matthias Fey
Jan-Gin Yuen
F. Weichert
GNN
33
86
0
22 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas
Fabrizio Frasca
S. Zafeiriou
M. Bronstein
55
424
0
16 Jun 2020
How hard is to distinguish graphs with graph neural networks?
Andreas Loukas
GNN
25
6
0
13 May 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Floris Geerts
Filip Mazowiecki
Guillermo A. Pérez
GNN
24
38
0
06 Apr 2020
Universal Function Approximation on Graphs
Rickard Brüel-Gabrielsson
29
6
0
14 Mar 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
29
45
0
27 Feb 2020
Generalization and Representational Limits of Graph Neural Networks
Vikas K. Garg
Stefanie Jegelka
Tommi Jaakkola
GNN
26
303
0
14 Feb 2020
Can Graph Neural Networks Count Substructures?
Zhengdao Chen
Lei Chen
Soledad Villar
Joan Bruna
GNN
57
319
0
10 Feb 2020
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNN
AAML
13
232
0
08 Feb 2020
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,396
0
20 Dec 2018
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
280
1,400
0
01 Dec 2016
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