Graph Neural Networks (GNNs) using PyTorch-Geometric (PyG)
The workshop is designed to equip researchers with the skills to apply graph neural networks (GNNs) to complex datasets. Participants will learn the fundamentals of graph-based data representations, followed by practical training on using PyTorch Geometric (PyG) for building, training, and evaluating GNN models.
Presented by Robert Kalescky
- Date:
- Thursday, February 6, 2025
- Time:
- 3:30pm - 5:00pm
- Hosted by:
- O'Donnell Data Science and Research Computing Institute
- Space:
- Fondren Library 110
- Audience:
- Faculty/staff Graduates Undergraduates
- Categories:
- Scholarship and Research > Computational Skills
Any person who requires a reasonable accommodation on the basis of a disability in order to participate in this program should contact Contact Name and email at least one week prior to the event to arrange for the accommodation.