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Bayesian Graph Neural Network for Fast identification of critical nodes
  in Uncertain Complex Networks
v1v2 (latest)

Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks

IEEE International Conference on Systems, Man and Cybernetics (SMC), 2020
26 December 2020
Sai Munikoti
Laya Das
Balasubramaniam Natarajan
ArXiv (abs)PDFHTML

Papers citing "Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks"

3 / 3 papers shown
Challenges and Opportunities in Deep Reinforcement Learning with Graph
  Neural Networks: A Comprehensive review of Algorithms and Applications
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and ApplicationsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Sai Munikoti
D. Agarwal
L. Das
M. Halappanavar
Balasubramaniam Natarajan
GNNOffRLAI4CE
355
120
0
16 Jun 2022
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence
  Maximization
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization
Sai Munikoti
Balasubramaniam Natarajan
M. Halappanavar
195
7
0
30 May 2022
A General Framework for quantifying Aleatoric and Epistemic uncertainty
  in Graph Neural Networks
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural NetworksNeurocomputing (Neurocomputing), 2022
Sai Munikoti
D. Agarwal
Laya Das
Balasubramaniam Natarajan
BDLUD
304
22
0
20 May 2022
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