GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization

30 May 2022

Papers citing "GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization"

10 / 10 papers shown

Title
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks Sai Munikoti D. Agarwal Laya Das Balasubramaniam Natarajan BDL UD 65 13 0 20 May 2022
Bayesian Graph Neural Network for Fast identification of critical nodes in Uncertain Complex Networks Sai Munikoti Laya Das Balasubramaniam Natarajan 49 3 0 26 Dec 2020
Scalable Graph Neural Network-based framework for identifying critical nodes and links in Complex Networks Sai Munikoti Laya Das B. Natarajan GNN 50 48 0 26 Dec 2020
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search Zhuwen Li Qifeng Chen V. Koltun GNN 94 475 0 25 Oct 2018
A Multi-Objective Deep Reinforcement Learning Framework Thanh Thi Nguyen Ngoc Duy Nguyen Peter Vamplew Saeid Nahavandi Richard Dazeley Chee Peng Lim OffRL 62 110 0 08 Mar 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,300 0 07 Jun 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 114 1,472 0 05 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 644 29,076 0 09 Sep 2016
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 121 3,059 0 09 Jun 2015
Predicting Positive and Negative Links in Online Social Networks J. Leskovec D. Huttenlocher Jon M. Kleinberg 94 1,634 0 11 Mar 2010