3 citations · 5 across the 2 of their papers we have counts for
3 papers
quant-ph2021★ 2 cited
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
Cenk Tüysüz, Carla Rieger, Kristiane Novotny +6
The Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) will be upgraded to further increase the instantaneous rate of particle collisions (luminos…
cs.DC2018★ 3 cited
Parallel Louvain Community Detection Optimized for GPUs
Richard Forster
Community detection now is an important operation in numerous graph based applications. It is used to reveal groups that exist within real world networks without imposing prior siz…
cs.AI2018
Hierarchical clustering with deep Q-learning
Richard Forster, Agnes Fulop
The reconstruction and analyzation of high energy particle physics data is just as important as the analyzation of the structure in real world networks. In a previous study it was…