Graph Neural Networks and 3-dimensional topology

Graph Neural Networks and 3-dimensional topology

We test the efficiency of applying geometric deep learning to the problems in low-dimensional topology in a certain simple setting. Specifically, we consider the class of 3-manifolds described by plumbing graphs and use graph neural networks (GNN) for the problem of deciding whether a pair of graphs...

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Bibliographic Details
Main Authors: Song Jin Ri, Pavel Putrov
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Machine Learning: Science and Technology
Subjects:
Graph neural networks
plumbed 3-manifolds
reinforcement learning
supervised learning
Online Access:https://doi.org/10.1088/2632-2153/acf097

Internet

https://doi.org/10.1088/2632-2153/acf097

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