GLOW is a new reading group designed to foster discussions on the foundations and latest developments in Graph Machine Learning.
GLOW is a new reading group designed to foster discussions on the foundations and latest developments in Graph Machine Learning.
Instead of the usual setup, we are organising a big Gather Town session where you can present a poster about your own graph-related ideas, project or paper. People can move around the space, drop into conversations, listen to pitches, and discuss — much more informal and exploratory!
This is open to everyone: whether you've been working on something for a while or want feedback on your early-stage ideas, there's a spot for you.
Applications are still open! If you’d like to claim a space in Gather Town, please fill in this form before October 7th: Googleform
See you there!🚀
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.
PhD Student
RWTH Aachen University