1st TC2 Summer School on Deep Learning on Graphs

•   8.30am - 10am: Intro to GNNs: an historical perspective, Prof. Andrea Torsello

• 10am - 11.30am: 3D vision analysis and process with GNNs, Prof. Xiao Bai (remote)

• 11.30am - 12am: Coffee break

• 12am - 1pm: Introduction to PyTorch Geometric, Dr. Luca Cosmo

• 1pm - 2pm: Lunch break

• 2pm - 3.30pm: Interpretable and explainable GNNs, Dr. Luca Rossi

• 3.30pm - 5pm: Quantum information propagation in GNNs, Prof. Edwin R. Hancock (remote)

• 5pm - 5.30pm: Coffee break

• 5.30pm - 7pm: Hands-on session: deep learning on graphs with Python, Dr. Luca Cosmo

The Hong Kong Polytechnic University - Campus Map

The seminars will be held in Room BC404

Research students with a knowledge of deep learning techniques and an understanding of basic graph theory should send an up-to-date copy of their CV to Dr. Luca Rossi, clearly identifying their area of research, publications, and academic performance. There are limited positions available therefore the applicants will be selected based on their CV. Note that we welcome applicants from all disciplines, including those who have an interest in applying deep learning methods for graphs to their specific field of research (e.g., network analysis, bioinformatics).

• Application submission deadline: 4 August 2023

• Applicants notification: 11 August 2023

• Summer school: 31 August 2023 

This is a free event, all selected applicants will be able to attend the School free of charge.