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Representation Power of Graph Neural Networks: Improved Expressivity via
  Algebraic Analysis

Representation Power of Graph Neural Networks: Improved Expressivity via Algebraic Analysis

19 May 2022
Charilaos I. Kanatsoulis
Alejandro Ribeiro
ArXivPDFHTML

Papers citing "Representation Power of Graph Neural Networks: Improved Expressivity via Algebraic Analysis"

4 / 4 papers shown
Title
Non-backtracking Graph Neural Networks
Non-backtracking Graph Neural Networks
Seonghyun Park
Narae Ryu
Ga-Rin Kim
Dongyeop Woo
Se-Young Yun
Sungsoo Ahn
35
4
0
11 Oct 2023
Elastic Graph Neural Networks
Elastic Graph Neural Networks
Xiaorui Liu
W. Jin
Yao Ma
Yaxin Li
Hua Liu
Yiqi Wang
Ming Yan
Jiliang Tang
92
107
0
05 Jul 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
916
0
02 Mar 2020
Interaction Networks for Learning about Objects, Relations and Physics
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
1