ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce
Strong Baselines For Combinatorial Optimization Problems, If Tuned and
Trained Properly, on Appropriate Data

ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data

22 December 2021

Amin Banitalebi-Dehkordi

Yong Zhang

Papers citing "ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data"

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Title
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks M. Seyfi Amin Banitalebi-Dehkordi Zirui Zhou Yong Zhang 41 4 0 23 Nov 2023
Lifelong Learning for Neural powered Mixed Integer Programming S. Manchanda Sayan Ranu CLL 25 1 0 24 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 39 370 0 05 Aug 2022
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch Tianyu Zhang Amin Banitalebi-Dehkordi Yong Zhang BDL OffRL 8 14 0 14 Jun 2022
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 109 243 0 23 Dec 2020