94 citations · 228 across the 23 of their papers we have counts for
3 papers · 1 filter
Mixture-of-Experts Graph Transformers for Interpretable Particle Collision Detection
Donatella Genovese, Alessandro Sgroi, Alessio Devoto +6
The Large Hadron Collider at CERN produces immense volumes of complex data from high-energy particle collisions, demanding sophisticated analytical techniques for effective interpr…
Efficient Graph Coloring with Neural Networks: A Physics-Inspired Approach for Large Graphs
Lorenzo Colantonio, Andrea Cacioppo, Federico Scarpati +3
Combinatorial optimization problems near algorithmic phase transitions represent a fundamental challenge for both classical algorithms and machine learning approaches. Among them,…
Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques
A. Verdone, A. Devoto, C. Sebastiani +5
The experiments at the Large Hadron Collider at CERN generate vast amounts of complex data from high-energy particle collisions. This data presents significant challenges due to it…