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COMBHelper: A Neural Approach to Reduce Search Space for Graph
  Combinatorial Problems

COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems

14 December 2023
Hao Tian
Sourav Medya
Wei Ye
ArXivPDFHTML

Papers citing "COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems"

6 / 6 papers shown
Title
Theoretically Grounded Pruning of Large Ground Sets for Constrained,
  Discrete Optimization
Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization
Ankur Nath
Alan Kuhnle
16
0
0
23 Oct 2024
Game-theoretic Counterfactual Explanation for Graph Neural Networks
Game-theoretic Counterfactual Explanation for Graph Neural Networks
Chirag Chhablani
Sarthak Jain
Akshay Channesh
Ian A. Kash
Sourav Medya
28
6
0
08 Feb 2024
NeuroCUT: A Neural Approach for Robust Graph Partitioning
NeuroCUT: A Neural Approach for Robust Graph Partitioning
Rishi Shah
Krishnanshu Jain
S. Manchanda
Sourav Medya
Sayan Ranu
15
1
0
18 Oct 2023
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks
Graph-SCP: Accelerating Set Cover Problems with Graph Neural Networks
Zohair Shafi
Benjamin A. Miller
Tina Eliassi-Rad
R. Caceres
11
1
0
12 Oct 2023
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Mingli Song
Dacheng Tao
Xinchao Wang
141
226
0
23 Mar 2020
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
69
1,447
0
29 Nov 2016
1