Explores learning from interconnected data with graphs, covering modern ML research goals, pioneering methods, interdisciplinary applications, and democratization of graph ML.
Explores the collaborative development of Debian, an open-source Linux distribution, emphasizing the importance of contributing to existing codebases and setting up a development environment with bug tracking.
Discusses the history and impact of open source software, open data, and open science, emphasizing the benefits of sharing information in the digital age.
