GLOW
Graph Learning On Wednesdays
Graph Learning On Wednesdays
GLOW is a new reading group designed to foster discussions on the foundations and latest developments in Graph Machine Learning.
Baran Hashemi, Kurt Pasque, Chris Teska, Ruriko Yoshida
Corinna Coupette, Jeremy Wayland, Emily Simons, Bastian Rieck
GLOW aims to create an inclusive and accessible environment that encourages interaction, especially for junior researchers and those outside major research labs.
Interactive Discussions: Unlike traditional reading groups dominated by long presentations, GLOW emphasizes small group discussions, breakout rooms, and active participation.
Diverse Formats: Our sessions will rotate through various formats, including 30-minute paper presentations followed by discussions, expert panel deep dives on specific topics, interview-style Q&A sessions with authors, and spotlight sessions for spontaneous brainstorming or early-stage ideas.
Thematic Focus: We plan to explore big themes over multiple sessions, such as invariance, expressivity, and the role of transformers in graph learning.