The use of graph neural networks has produced significant advances in po...
Graph neural networks (GNNs) have gained traction in high-energy physics...
Many physical systems can be best understood as sets of discrete data wi...
Composing Graph Neural Networks (GNNs) of operations that respect physic...
The Exa.TrkX project has applied geometric learning concepts such as met...
To address the unprecedented scale of HL-LHC data, the Exa.TrkX project ...