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Edge Rewiring Goes Neural: Boosting Network Resilience without Rich
  Features

Edge Rewiring Goes Neural: Boosting Network Resilience without Rich Features

18 October 2021
Shanchao Yang
Kaili Ma
Baoxiang Wang
Tianshu Yu
H. Zha
    AAML
ArXivPDFHTML

Papers citing "Edge Rewiring Goes Neural: Boosting Network Resilience without Rich Features"

4 / 4 papers shown
Title
What's Wrong with Deep Learning in Tree Search for Combinatorial
  Optimization
What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization
Maximilian Böther
Otto Kißig
M. Taraz
S. Cohen
Karen Seidel
Tobias Friedrich
AI4CE
65
46
0
25 Jan 2022
Machine learning dismantling and early-warning signals of disintegration
  in complex systems
Machine learning dismantling and early-warning signals of disintegration in complex systems
Marco Grassia
Manlio De Domenico
G. Mangioni
AAML
117
84
0
07 Jan 2021
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
229
1,941
0
09 Jun 2018
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
189
885
0
07 Jun 2018
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