Mini-workshop on Graph Neural Networks for Tracking

Friday, June 3, 2022 - 9:00 AM
Princeton University

        : Sessions
    /     : Talks
        : Breaks
Jun 3, 2022
AM
9:00 AM Welcome - Savannah Jennifer Thais (Princeton University (US))   ()
9:10 AM Accelerated Graph Neural Network Inference - Javier Mauricio Duarte (Univ. of California San Diego (US))   ()
9:50 AM A differentiable graph pooling method based on spatial clustering algorithms” - Ryan Liu   ()
10:10 AM BESIII track finding algorithm based on edge-classifying GNN - Xiaoqian Jia   ()
10:30 AM --- Coffee ---
10:50 AM Heterogeneous GNN for tracking - Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))   ()
11:10 AM GNN Interpretability in HEP - Savannah Jennifer Thais (Princeton University (US))   ()
11:50 AM Pion reconstruction in the ATLAS detector using Graph Neural Networks - Piyush Karande   ()
PM
12:10 PM --- Lunch ---
1:10 PM Graph generative networks - Thiago Tomei Fernandez (UNESP - Universidade Estadual Paulista (BR))   ()
1:40 PM Towards Achieving Real-time GNN Inference - Alina Lazar Alina Lazar   ()
2:00 PM Equivariant Graph Networks - Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))   ()