LoG is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.
📢 Deadline extension for LoG 2026!
The submission deadlines have been extended:
📅 August 5 (AoE) – Abstract deadline
📅 August 7 (AoE) – Full paper deadline
Submit your work on topics broadly related to learning on graphs and geometry.
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📢 The LoG 2026 TMLR Journal Track is now open!
Authors of TMLR papers published within the last 24 months are invited to submit their work for presentation at LoG 2026.
🗓️ Deadline: Sept 30 (AoE)
🔗 CFP: logconference.org/cfp/#tmlr-jour…
📝 Submit: docs.google.com/forms/d/e/1FAI…
📢 Only two days left to submit to LoG 2026!
We welcome submissions on all areas broadly related to learning on graphs and geometry.
🔗 logconference.org/cfp/
📅 Key dates (AoE):
• July 29 – Abstract deadline
• August 1 – Full paper deadline
📢 We are still looking for reviewers!
If you are passionate about graph learning and geometry and would like to contribute to the community, we encourage you to apply!
🖋️ Application form: docs.google.com/forms/d/e/1FAI…
Don’t forget: top reviewers will receive monetary rewards!
📢 Call for Reviewers – LoG 2026
Help shape the next edition of LoG by reviewing submissions at the intersection of graphs, machine learning, and real-world applications.
Top reviewers will receive monetary rewards.
🔗 logconference.org/call-for-revie…#LoG2026