The Temporal Graph Learning Reading Group is back from Winter Break ❄️ See you on Feb 5th, 11am EST Ivan Marisca will present: Over-squashing in Spatiotemporal Graph Neural Networks (NeurIPS 2025) more info on our website

🚨 15 days left! 🚨 Don't miss the Call for Papers for the 3rd Temporal Graph Learning Workshop at KDD 2025 ✨ 📅 Deadline: May 20 (OpenReview) 🔗 sites.google.com/view/tgl-wor...

Excited to announce the third edition of the temporal graph learning workshop at KDD 2025, looking forward to seeing you there!

Join our team at Mila and help build trustworthy AI! We're hiring Postdocs & Interns to work on a cutting-edge project tackling misinformation. Combine LLMs, RAG, and temporal graphs to assess online credibility. PhD or strong CS/ML background needed. Apply here: forms.gle/ATdvNcZxYFcd...

Excited to announce the return of temporal graph reading group for winter 2025. Join us weekly for talks from the frontier of TG research.

Tomorrow Dec 11th 4:30 p.m. PST — 7:30 p.m. PST I will be presenting our recent work "TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs" at East Exhibit Hall A-C #3000. Hope to see you there. paper link: neurips.cc/virtual/2024...

This wednesday I will present our work "UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs" at the LOG 2024 conference. 📅 When: Poster Session 1: 27th November, 19:00 GMT or 2pm ET 📍 Where: Virtual Poster Session @logconference.bsky.social See you there.

Hi! This thursday, nov 21st, 11am EST, Rishabh Ranjan will present: RELBENCH: A Benchmark for Deep Learning on Relational Databases (NeurIPS 2024 Datasets and Benchmarks Track) 🎈 Join on zoom (link on website) arxiv.org/pdf/2407.20060 #graphml #machinelearning #temporalgraphs #neurips

🌟 Join our Temporal Graph Learning Reading Group! 🌟 📅 Every Thursday ⏰ 11 AM EST 📍 On Zoom (link on our website!) Let's discuss cool research on temporal graphs! 🪩🥳👩‍🏫 Hope to see you there!