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Introduction to Combinatorial Optimization With Physics Inspired Graph Neural Networks

In this episode we discuss a recent NeurIPS paper proposing a fully differentiable and unsupervised method for solving ... This work focuses on the application of deep learning on Andrea Cacioppo (Sapienza Università di Roma, FAIR Spoke 5) presents "Efficient Original paper: Title: On the Relationships between Hi i'm lakshaji devi and i will be talking about how we can create faster ... for approximation algorithm but nowadays we use

MIT CSAIL's Stefanie Jegelka reveals her latest research in " The message-passing paradigm has been the “battle horse” of deep learning on

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Last Updated: May 23, 2026

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Search Coverage: Combinatorial Optimization With Physics Inspired Graph Neural Networks

Combinatorial Optimization With Physics Inspired Graph Neural Networks Information Center

Introduction to Combinatorial Optimization With Physics Inspired Graph Neural Networks

Important Facts

History

Featured Video Reports & Highlights

Combinatorial Optimization with Physics-Inspired Graph Neural Networks

Part 11: combinatorial optimization with physics-inspired graph neural networks

#10 Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs

Soledad Villar: "Graph neural networks for combinatorial optimization problems"

Expert Insights

Final Thoughts

Combinatorial Optimization with Physics-Inspired Graph Neural Networks

Part 11: combinatorial optimization with physics-inspired graph neural networks

#10 Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs

Soledad Villar: "Graph neural networks for combinatorial optimization problems"

Graph Neural Networks for NP-Hard Combinatorial Optimization Problems

Laurent Charlin: "Exact Combinatorial Optimization with Graph Convolutional Neural Networks"

Efficient Graph Coloring with Neural Networks: A Physics-Inspired Approach for Large Graphs

On the Relationships between Graph Neural Networks for the Simulation of Physical System

TILOS Seminar: How to use Machine Learning for Combinatorial Optimization

Part 19: combinatorial optimisation with automated graph neural networks

Wouter Kool: Deep Learning for Combinatorial Optimization: count your flops & make your flops count!

Techniques for combinatorial optimization: Spectral Graph Theory and Semidefinite Programming

Dwivedee Lakshyajeet - Efficient Graph Neural Networks for Travelling Salesman Problem

Part 10: decision focused graph neural networks for combinatorial optimisation

Kyle Cranmer: "Quarks, hierarchical clustering, and combinatorial optimization"

Learning with Graphs and Combinatorial Structures with Stefanie Jegelka

Elias B. Khalil "Learning Combinatorial Optimization Algorithms over Graphs"

Physics-inspired graph neural networks, Michael Bronstein | LMS/IMA Joint Meeting 2023

Michael Bronstein : Physics-Inspired Graph Neural Networks