temporal graph learning reading group

You can now find us on BlueSky🦋: bsky.app/profile/tempgr…

Paper: arxiv.org/abs/2510.09416…

This week at the reading group, March 19th 11am EDT (4pm EDT!), we are happy to welcome Abigail J. Hayes and Tobias Schumacher (University of Mannheim), who will present: What Do Temporal Graph Learning Models Learn? See you on zoom (link on our website)🥳

zoom link on our website!

Paper: arxiv.org/abs/2506.24018

⏰Time-zone info: Canada already switched to EDT, Europe is still on winter time. See you Thu, Mar 12th, 11amEDT/4pmCET. We’re happy to welcome Veronica Lachi @LachiVeronica with “Bridging Theory and Practice in Link Representation with Graph Neural Networks” (NeurIPS 2025)

📢 Speaker Alert & Deadline Extension TENET @NetSciConf 2026 (June 1st): @BovetAlexandre , Asst. Prof. @UZH_ch 📷 Submit your abstract by March 16th: tinyurl.com/48ys2vx9 #Netsci2026 #Tenet26 #networkscience

And here it the link to the recording: youtu.be/x7vfMPgtARQ

link to the paper: openreview.net/forum?id=jdKtk…

This week at the reading group, thursday feb 12th, 11am EST, we are happy to welcome @EnnadirSofiane, who will present: Virtual Nodes Go Temporal (LOG 2025). zoom link on website! 🥳

@_rishabhranjan_ please find the recording on YouTube: youtu.be/ZKXNfu0j4qc 🙂

Enjoyed presenting our ICLR 2026 work (Relational Transformer) at the TGL reading group today. Thanks for the insightful discussion! Slides from today: drive.google.com/file/d/1CPSUZC… Paper: arxiv.org/abs/2510.06377 Code, data, models: github.com/snap-stanford/…

@kvignesh1420 Here is the recording of the talk: youtu.be/iWy7kYS_yMc 🍿

Thoroughly enjoyed the discussions on PluRel and Relational Foundation Models during the talk! Thanks to an amazing audience @tempgraph_rg Slides: drive.google.com/file/d/1oF-hNY… Website: snap-stanford.github.io/plurel/ Github: github.com/snap-stanford/…

@kvignesh1420 Thanks for presenting, we greatly enjoyed your talk! :)

Find more infos here: github: github.com/snap-stanford/… website: snap-stanford.github.io/plurel/

📚 Today at the Reading Group, Thu, Feb 26, 11am EST, we’re excited to host Vignesh Kothapalli @kvignesh1420 (Stanford University) presenting: PLUREL: Synthetic Data Unlocks Scaling Laws for Relational Foundation Models zoom link on our website See you there! 🚀

This Thursday (Feb 19, 11am EST) at the reading group: Rishabh Ranjan (Stanford) presents Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data. Paper & code: github.com/snap-stanford/… Hope to see you there! zoom link on website!

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

📣 Join us for the TENET satellite at @NetSciConf in Boston! Following the enthusiasm for last year’s editions, we're bringing together researchers working on Temporal Networks! ✏️2 pages abstracts 📆 Submit by Feb 20, 2026 🔗 more info here: tinyurl.com/4zevnyft

📢 This week at the Reading Group (Nov 13, 11am EST / 5pm CET), Jacob Chmura & @shenyangHuang present TGM: a Modular and Efficient Library for Machine Learning on Temporal Graph ⏰ zoom link on website!