Mini-workshop on Graph Neural Networks for Tracking

Contribution List

1. Welcome

Savannah Jennifer Thais (Princeton University (US))

03/06/2022, 09:00

2. Accelerated Graph Neural Network Inference

Javier Mauricio Duarte (Univ. of California San Diego (US))

03/06/2022, 09:10

3. A differentiable graph pooling method based on spatial clustering algorithms”

Ryan Liu

03/06/2022, 09:50

4. BESIII track finding algorithm based on edge-classifying GNN

Xiaoqian Jia

03/06/2022, 10:10

5. Heterogeneous GNN for tracking

Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))

03/06/2022, 10:50

6. GNN Interpretability in HEP

Savannah Jennifer Thais (Princeton University (US))

03/06/2022, 11:10

7. Pion reconstruction in the ATLAS detector using Graph Neural Networks

Piyush Karande

03/06/2022, 11:50

9. Graph generative networks

Thiago Tomei Fernandez (UNESP - Universidade Estadual Paulista (BR))

03/06/2022, 13:10

10. Towards Achieving Real-time GNN Inference

Alina Lazar, Alina Lazar

03/06/2022, 13:40

11. Equivariant Graph Networks

Daniel Thomas Murnane (Lawrence Berkeley National Lab. (US))

03/06/2022, 14:00

8. Lunch