Mini-workshop on Graph Neural Networks for Tracking

Contribution List

1. Welcome

Savannah Jennifer Thais (Princeton University (US))

6/3/22, 9:00 AM

2. Accelerated Graph Neural Network Inference

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

6/3/22, 9:10 AM

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

Ryan Liu

6/3/22, 9:50 AM

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

Xiaoqian Jia

6/3/22, 10:10 AM

5. Heterogeneous GNN for tracking

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

6/3/22, 10:50 AM

6. GNN Interpretability in HEP

Savannah Jennifer Thais (Princeton University (US))

6/3/22, 11:10 AM

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

Piyush Karande

6/3/22, 11:50 AM

9. Graph generative networks

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

6/3/22, 1:10 PM

10. Towards Achieving Real-time GNN Inference

Alina Lazar, Alina Lazar

6/3/22, 1:40 PM

11. Equivariant Graph Networks

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

6/3/22, 2:00 PM

8. Lunch