Neural Diffusion PDEs, Differential Geometry, and Graph Neural Networks

Explore the intersection of neural diffusion PDEs, differential geometry, and graph neural networks in this 75-minute webinar presented by Michael Bronstein from the University of Oxford and Twitter. Gain insights into cutting-edge research and applications in data science and signal processing as part of the Data sciEnce on GrAphS (DEGAS) Webinar Series, organized in collaboration with the IEEE Signal Processing Society Data Science Initiative. Delve into the theoretical foundations and practical implications of these advanced topics, enhancing your understanding of modern machine learning techniques and their applications in graph-based data analysis.