Joined February 2023
47 Photos and videos
You can now find us on BlueSky🦋: bsky.app/profile/tempgraphrg…

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This week at the reading group, April 30th, 11am EDT/ 5pm CEST, we are happy to have Weilin Xin and Chenyu Huang, who will present UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction (ICLR 26). 🌇 zoom link on our website!
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This week at the reading group, April 16th, 11am EDT/ 5pm CEST, we are happy to have Vinay Sharma (EPFL), who will present A physics-informed graph neural network conserving linear and angular momentum for dynamical systems (Nature Communications 2026) zoom link on website 🙂
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Hello, we have no reading group this week. We will be back with The Temporal Graph of Bitcoin Transactions (NeurIPS 2025), next week, april 2nd.
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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)🥳
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⏰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)
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zoom link on our website!
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temporal graph learning reading group retweeted
📢 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
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temporal graph learning reading group retweeted
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-… Website: snap-stanford.github.io/plur… Github: github.com/snap-stanford/plu…
📚 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! 🚀
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📚 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! 🚀
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temporal graph learning reading group retweeted
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/1CPS… Paper: arxiv.org/abs/2510.06377 Code, data, models: github.com/snap-stanford/rel…
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/rel… Hope to see you there! zoom link on website!
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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/rel… Hope to see you there! zoom link on website!
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