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Graph Neural Networks and 3-Dimensional Topology

Graph Neural Networks and 3-Dimensional Topology

10 May 2023
Pavel Putrov
Song Jin Ri
ArXivPDFHTML

Papers citing "Graph Neural Networks and 3-Dimensional Topology"

6 / 6 papers shown
Title
Learning BPS Spectra and the Gap Conjecture
Learning BPS Spectra and the Gap Conjecture
Sergei Gukov
Rak-Kyeong Seong
16
5
0
16 May 2024
Learning 3-Manifold Triangulations
Learning 3-Manifold Triangulations
Francesco Costantino
Yang-Hui He
Elli Heyes
Edward Hirst
38
0
0
15 May 2024
Rigor with Machine Learning from Field Theory to the Poincaré
  Conjecture
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture
Sergei Gukov
James Halverson
Fabian Ruehle
AI4CE
39
16
0
20 Feb 2024
Geometric deep learning approach to knot theory
Geometric deep learning approach to knot theory
Lennart Jaretzki
AI4CE
21
1
0
26 May 2023
Untangling Braids with Multi-agent Q-Learning
Untangling Braids with Multi-agent Q-Learning
Abdullah Khan
A. Vernitski
A. Lisitsa
AI4CE
20
6
0
29 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
172
1,103
0
27 Apr 2021
1