Bootcamp on Geometry and Graph Learning

Learn fundamental concepts in geometry and graph learning through this comprehensive bootcamp lecture delivered by Anthea Monod from Imperial College London at the Simons Institute. Explore the intersection of graph learning methodologies with theoretical computer science principles, gaining insights into how geometric structures inform machine learning approaches on graph data. Discover key theoretical foundations that underpin modern graph neural networks and geometric deep learning techniques. Examine the mathematical frameworks that connect topology, geometry, and learning algorithms, providing essential background for understanding advanced topics in this rapidly evolving field. Develop a solid foundation in the geometric principles that drive effective graph-based machine learning models and their theoretical underpinnings.