Mini-workshop on Graph Neural Networks for Tracking

Friday 3 June 2022 - 09:00
Princeton University

        : Sessions
    /     : Talks
        : Breaks
3 Jun 2022
AM
09:00 Welcome - Savannah Jennifer Thais (Princeton University (US))   ()
09:10 Accelerated Graph Neural Network Inference - Javier Mauricio Duarte (Univ. of California San Diego (US))   ()
09:50 A differentiable graph pooling method based on spatial clustering algorithms” - Ryan Liu   ()
10:10 BESIII track finding algorithm based on edge-classifying GNN - Xiaoqian Jia   ()
10:30 --- Coffee ---
10:50 Heterogeneous GNN for tracking - Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))   ()
11:10 GNN Interpretability in HEP - Savannah Jennifer Thais (Princeton University (US))   ()
11:50 Pion reconstruction in the ATLAS detector using Graph Neural Networks - Piyush Karande   ()
PM
12:10 --- Lunch ---
13:10 Graph generative networks - Thiago Tomei Fernandez (UNESP - Universidade Estadual Paulista (BR))   ()
13:40 Towards Achieving Real-time GNN Inference - Alina Lazar Alina Lazar   ()
14:00 Equivariant Graph Networks - Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))   ()