research
∙
07/31/2023
Graph Structure from Point Clouds: Geometric Attention is All You Need
The use of graph neural networks has produced significant advances in po...
share
research
∙
04/11/2023
Equivariant Graph Neural Networks for Charged Particle Tracking
Graph neural networks (GNNs) have gained traction in high-energy physics...
research
∙
03/23/2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
Many physical systems can be best understood as sets of discrete data wi...
research
∙
02/14/2022
Semi-Equivariant GNN Architectures for Jet Tagging
Composing Graph Neural Networks (GNNs) of operations that respect physic...
research
∙
03/11/2021
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline
The Exa.TrkX project has applied geometric learning concepts such as met...
research
∙
06/30/2020
