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The Surprising Power of Graph Neural Networks with Random Node
  Initialization

The Surprising Power of Graph Neural Networks with Random Node Initialization

2 October 2020
Ralph Abboud
.Ismail .Ilkan Ceylan
Martin Grohe
Thomas Lukasiewicz
ArXivPDFHTML

Papers citing "The Surprising Power of Graph Neural Networks with Random Node Initialization"

4 / 154 papers shown
Title
Counting Substructures with Higher-Order Graph Neural Networks:
  Possibility and Impossibility Results
Counting Substructures with Higher-Order Graph Neural Networks: Possibility and Impossibility Results
B. Tahmasebi
Derek Lim
Stefanie Jegelka
GNN
34
30
0
06 Dec 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with
  Stochastic Message Passing
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing
Ziwei Zhang
Chenhao Niu
Peng Cui
Jian Pei
Bo Zhang
Wenwu Zhu
21
2
0
05 Sep 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
917
0
02 Mar 2020
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
206
885
0
07 Jun 2018
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