Learning on Graphs Conference 2026
📅 Friday, 20 November 2026 → Sunday, 22 November 2026 in 162 days
The Learning on Graphs Conference (LoG) 2026 — ML on graphs and geometry, with a signature focus on review quality (Boston, 20–22 Nov).
Learning on Graphs Conference (LoG) 2026 is scheduled for 20–22 November 2026 in Boston, the second in-person edition of this fast-rising research conference. LoG covers machine learning on graphs and geometry — graph neural networks, geometric deep learning, and relational/structured learning — and is distinctive for an explicit emphasis on review quality, even offering monetary reviewer rewards. It also runs a worldwide network of local meetups (Pisa, Tromsø, Gandhinagar, New Delhi, Paris, São Carlos) to broaden access.
Graph and geometric methods underpin everything from molecular and materials discovery to recommendation and knowledge graphs, making LoG an important specialist anchor as these techniques fuse with foundation models.
📝 Call for papers open
Open. Primary deadline 1 Aug 2026 · AoE (UTC‒12). Full paper 1 Aug (abstract 29 Jul) AoE; double-blind, PMLR proceedings track.
| Abstract | 29 Jul 2026 · AoE (UTC‒12) |
|---|---|
| Full paper / submission | 1 Aug 2026 · AoE (UTC‒12) |
| Author notification | 13 Sep 2026 · AoE (UTC‒12) |
| Camera-ready | 15 Oct 2026 · AoE (UTC‒12) |
Deadlines can change — always confirm on the official call page before submitting.
