Graph Neural Networks: Interconnected World

This lecture by the instructor covers the topic of learning from the interconnected world with graphs, focusing on modern machine learning research goals and methods to represent interconnected data. The lecture delves into the research landscape of the instructor, showcasing pioneering graph learning methods and their interdisciplinary applications in various domains. It also discusses the democratization of graph machine learning through open-source software and the impact of graph neural networks on scientific discovery and artificial intelligence.