Explores learning from interconnected data with graphs, covering modern ML research goals, pioneering methods, interdisciplinary applications, and democratization of graph ML.
Explores accelerator applications in society, from science to medicine, and reflects on the role of accelerators in driving theoretical understanding and scientific discovery.
