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Mini-workshop on Graph Neural Networks for Tracking

3 June 2022
Princeton University
US/Eastern timezone

Contribution List

11 out of 11 displayed
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  1. 1. Welcome
    Savannah Jennifer Thais (Princeton University (US))
    03/06/2022, 09:00
  2. 2. Accelerated Graph Neural Network Inference
    Javier Mauricio Duarte (Univ. of California San Diego (US))
    03/06/2022, 09:10
  3. 3. A differentiable graph pooling method based on spatial clustering algorithms”
    Ryan Liu
    03/06/2022, 09:50
  4. 4. BESIII track finding algorithm based on edge-classifying GNN
    Xiaoqian Jia
    03/06/2022, 10:10
  5. 5. Heterogeneous GNN for tracking
    Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))
    03/06/2022, 10:50
  6. 6. GNN Interpretability in HEP
    Savannah Jennifer Thais (Princeton University (US))
    03/06/2022, 11:10
  7. 7. Pion reconstruction in the ATLAS detector using Graph Neural Networks
    Piyush Karande
    03/06/2022, 11:50
  8. 9. Graph generative networks
    Thiago Tomei Fernandez (UNESP - Universidade Estadual Paulista (BR))
    03/06/2022, 13:10
  9. 10. Towards Achieving Real-time GNN Inference
    Alina Lazar, Alina Lazar
    03/06/2022, 13:40
  10. 11. Equivariant Graph Networks
    Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))
    03/06/2022, 14:00
  11. 8. Lunch