Explores learning from interconnected data with graphs, covering modern ML research goals, pioneering methods, interdisciplinary applications, and democratization of graph ML.
Covers the basics of polymer biophysics, including DNA conformation modeling and the Boltzmann principle, emphasizing the exponential decay of correlations between segments.