Public repo for The Alan Turing Institute's reading group on graph neural networks. See our website with notes here.
If you're based at the Turing, follow #gnn-reading-group on the Turing Slack for the most recent updates.
The group meets biweekly on Thursdays at 14:00–15:00, and collaboratively works through a resource on a particular topic. The in-between weeks are left open for application talks, usually to highlight something that someone in the group is working on. Everyone is welcome to join! If you have any questions email Nathan or Boyko.
Please add suggestions and emoji preferences to the list of proposed topics on HackMD. We'd love for you to lead a session (and there aren't any prerequisites for doing so — just have to be willing to learn!).
We are starting to maintain a document with some shared knowledge based on the topics we've covered so far (Overleaf link).
| Date | Topic | Room | Lead | Material | Recording/Slides | Comments |
|---|---|---|---|---|---|---|
| 2024-04-18 | CS224W: Learning with Graphs, lecture 2.3 | Virtual | Boyko Vodenicharski | - | Recording | |
| 2024-05-02 | Local/higher GNNs for audio classification | Margaret Hamilton | Shubhr Singh | - | Recording |
| Date | Topic | Room | Lead | Material | Recording/Slides |
|---|---|---|---|---|---|
| 2023-11-02 | Introduction to Learning on Graphs (part 1) | Issac Asimov (2nd floor) | Nathan Simpson | GDL lecture 5 | Recording |
| 2023-11-09 | Introduction to Learning on Graphs (part 2) | Cipher (1st floor) | Levan Bokeria | GDL lecture 5 | Recording; Slides |
| 2023-11-16 | "Geometric Deep Learning" - Lecture 6 (Graphs & Sets II) - Petar Veličković | Mary Shelly (2nd floor!) | Mohamad Elmasri | GDL Lecture 6 | Recording |
| 2023-11-23 | "Geometric Deep Learning" - Lecture 6 (Graphs & Sets II) - Petar Veličković | Isaac Asimov | Mohamad Elmasri | GDL Lecture 6 | Recording |
| 2023-11-30 | Practical Introduction to Graph Neural Networks (notebook) | Jack Good | Boyko Vodenicharski | Recording; Slides | |
| 2023-12-07 | Recap of what we've covered so far and ideas for future sessions | Project Space | Oliver Strickson | ||
| 2024-01-11 | Transformers are GNNs | Marian Rejewski | Edmund Dable-Heath | Blog post, Document from Petar Veličković | |
| 2024-01-18 | Marian Rejewski | ||||
| 2024-01-25 | No talk this week | ||||
| 2024-02-01 | Forecasting Global Weather with Graph Neural Networks | Nathan Simpson | Recording | ||
| 2024-02-08 | No talk this week | ||||
| 2024-03-07 | Hello + deciding on next resource! | Issac Asimov (2nd floor) | Nathan Simpson | ||
| 2024-03-21 | CS224W: Learning with Graphs, lecture 2.1 | Marian Rejewski | Nathan Simpson | CS224W: Learning with Graphs, lecture 2.1 | Recording |
| 2024-04-04 | CS224W: Learning with Graphs, lecture 2.2 | Marian Rejewski | Praveen Selvaraj | CS224W: Learning with Graphs, lecture 2.2 | Recording; Slides |