Geometric Deep Learning for Protein Understanding

Explore the cutting-edge application of geometric deep learning in protein understanding through this 46-minute conference talk delivered by Jian Tang at the 2024 Molecular Machine Learning conference hosted at Mila. Delve into the innovative approaches and methodologies that leverage geometric deep learning techniques to unravel the complexities of protein structures and functions. Gain insights into how this advanced computational approach is revolutionizing our understanding of proteins and their roles in biological systems. Learn from Jian Tang, a renowned expert in the field, as he presents the latest advancements and potential applications of geometric deep learning in protein research and drug discovery.

Geometric Deep Learning for Protein Understanding | Jian Tang