⏰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 with “Bridging Theory and Practice in Link Representation with Graph Neural Networks” (NeurIPS 2025)

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

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

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

📣 Join us for the TENET satellite at @netsciconf.bsky.social 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 & @shenyanghuangtg.bsky.social present TGM: a Modular and Efficient Library for Machine Learning on Temporal Graph ⏰ zoom link on website!

🪩This week at the reading group, thursday, november 6th, 11am EST (5pm CET), Emma Ceccherini (University of Bristol) will present: Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees 🪩 Looking forward to seeing you! zoom link on website.

🗓️ Reading Group: Thu, Oct 30 @ 11:00 AM EDT (note: 4:00 PM CET this week due to DST shift!) 👩‍🔬 Speaker: Edwige Cyffers (ISTA, Austria) 📄 Fedivertex: a Graph Dataset based on Decentralized Social Networks for Trustworthy ML 🔗 arxiv.org/abs/2505.20882 zoom link on website :)

This week at the reading group, thursday, Oct 23rd, 11am EDT, we are happy to have Andrea Ceni (University of Pisa), who will present "Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling". zoom link on website. 🥳

This week at the reading group, thursday, oct 16th, 11am EDT, we are very happy to welcome @manueldileo.bsky.social who will present Tensor Decomposition for Temporal Knowledge Graph Reasoning: From Completion to Forecasting. See you there 🥳🥳 zoom link on our website

This week at the reading group, thursday, Oct 9th, 11am EDT (5pm CEST), @Zifeng Ding will present: Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning 😊 zoom link on website!

📚 The TGL reading group is hosting another session tomorrow 📚! We're excited to have Lu Yi from Renmin University of China on to discuss the paper "Future Link Prediction Without Memory or Aggregation"! 🔗 Paper | arxiv.org/abs/2505.19408 Zoom link can be found on the website - hope to see you!

This thursday, Sept 11th, 11am EDT (5pm CEST) we are happy to have Mathieu Chevalley (ETH Zurich and GSK), who will present: A large-scale benchmark for network inference from single-cell perturbation data www.nature.com/articles/s42... zoom link on website 🥳

📚 This week, another reading group: 🗓️ Thursday, August 28th | 🕚 11am EDT, 5pm CEST 🎤 Kiarash Shamsi, University of Manitoba presents MiNT: Multi-Network Training for Transfer Learning on Temporal Graphs 🔗 Paper | arxiv.org/abs/2406.10426 👩‍💻: Zoom link on the webpage!

This week at the reading group, thursday, August 14th, 11am EDT (5pm CEST), @shenyanghuangtg.bsky.social will present: Are Large Language Models Good Temporal Graph Learners? paper: arxiv.org/abs/2506.05393 zoom link on website looking forward to seeing you! 🥳

Good news: The reading group starts again this thursday, july 24th, 11am EDT! We are happy to welcome Zijie Huang (Google DeepMind) to present: Neural Dynamics for Science: The Symbiosis of Deep Graph Learning and Differential Equations Meet you on zoom (link on website) 🎉🥳

💡deadline extension for our Temporal Graph Learning workshop: new deadline is May 25th, AOE 💡 looking forward to your submissions!

Submission deadline for our #kdd2025 workshop is in 6 days, on May 20th AOE.😌 Topics include: Frontiers, Applications, Theory, Models, Methods and Evaluation for learning on temporal graphs! Position papers, extended abstracts and standard papers. The venue is non-archival.

📚 This week's reading group: 🗓 Thursday, May 1st | 🕚 11am EDT 🎙 Jason Schoeters (Univ. of Florence, DISIA Lab) presents: Spanners in Temporal Graphs 🔗 Paper | www.sciencedirect.com/science/arti... 🪩zoom link on website. #Graph #TemporalGraph

This week at the Reading Group, Lu Yi from ALGO Lab will present: TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics (#ICLR 2025). See you on thursday, april 24th, 11am EDT 🌟 zoom link on website! openreview.net/forum?id=8e2...

☀️This week at the reading group, Thursday, April 17th, 11am EDT, Xinyu He will present: Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency (ICLR 2025 Spotlight) Looking forward to seeing you there! zoom link on website paper: openreview.net/forum?id=tj5...

🌟Call for Reviewers!🌟 We are currently recruiting reviewers for our upcoming workshop and would love to have your expertise on board! Timeline: May 2025 📝 Please sign up here: docs.google.com/forms/d/e/1F... Thank you for supporting the workshop!

🚀 Time zone update: CET → CEST! 🚀 Join us at the Reading Group this Thursday, April 10, 11 AM EDT / 5 PM CEST! 🎙️ 🔹 Speaker: Veronica Lachi (FBK) 🔹 Paper: Boosting Relational Deep Learning with Pretrained Tabular Models 🔹 Zoom link on website arxiv.org/pdf/2504.04934

📢 Announcing the third edition of Temporal Graph Learning Workshop at KDD 2025 📢 📜 Call for Papers: Submit your work on Temporal Graphs, Evolving Relational Data, Spatio-Temporal Graphs & more! 📅 Submission Deadline: May 20 AoE (Openreview) sites.google.com/view/tgl-wor...

❤️ This week, March 27th, 11am EDT, we are looking forward to have Alexander Jenkins, who will present: Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements ❤️ zoom link on our website!

This week at the Reading Group, we are happy to welcome Sitao Luan, who will present: The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges See you on thursday, March 20, 11am EDT on zoom (link on website) arxiv.org/abs/2407.09618

🚨🌺 Time zone update: EST → EDT! 📅 Reading Group: Thursday, March 13 🕚 11 AM EDT This week, Zifeng Ding presents DyGMamba – Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. arxiv.org/pdf/2408.047...

📢Join us Thursday, March 6, at 11 AM (ET) on Zoom (link on website) for a discussion on: 🧠 Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs (NeurIPS 2024) 👥 Presented by Franziska Heeg (JMU Würzburg)

This Thursday, Feb 27th, 11am EDT join us for "UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs" (LOG 2024 @logconference.bsky.social ) 🎤 Presenter: Our very own organizer Andy @shenyanghuangtg.bsky.social (McGill University, Mila) 🔗 Zoom link on website

Tomorrow, thursday, feb 20th, 11am EDT, Andreas Berentzen @andreasberentzen.bsky.social and Jesse Wonnink will present their Reproducibility study of: Explaining Temporal Graph Models Through an Explorer-Navigator Framework (TMLR and NeurIPS Journal Track). 🪩 zoom link on website

This thursday, Feb 13th, 11am ET, at the Reading group, Katherine Tieu will present: Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed (NeurIPS 2024). Looking forward to seeing you there! 🎉🎉 Zoom link on website openreview.net/forum?id=266...

This week we look forward to an exciting talk featuring two #LOG2024 papers! 📢 Towards Neural Scaling Laws on Graphs & Do Neural Scaling Laws Exist on Graph Self-Supervised Learning? 🎤 Jingzhe Liu (MSU) & Qian Ma (RPI) 📅 11am EST, Feb 6 (Thu) 📍 Zoom (link on website) Don’t miss it! 🔥

🕵️‍♀️This week at the Reading Group, Tim Poštuvan will present Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs (TMLR) ⏰Thursday, Jan 30th, 11am EST 📍zoom, link on our website 📃https://openreview.net/forum?id=8imVCizVEw See you there

📹This talk is now available on our YouTube channel: youtu.be/GWFtIffcE0M

We created a starter pack for temporal graph researchers! Please let us know if you would like to be added, or know someone to be added ✨ go.bsky.app/Z7X5KH

🚨 The Temporal Graph Learning Reading Group is back from winter break! 🚨 📅 Thursday, Jan 16th, 11am ET (on Zoom) 📖 Topic: Interpreting Temporal Graph Neural Networks with Koopman Theory 👨‍🔬 Speaker: Michele Guerra 📄 Paper: arxiv.org/pdf/2410.13469 🔗 Zoom link: Check our website! See you on thursday!

The recording for RELBENCH: A Benchmark for Deep Learning on Relational Databases is now on YouTube: youtu.be/2idUm4OBX7Y Enjoy!🪩

The recording for Expressive Power of Temporal Message Passing is now on YouTube: youtu.be/Jb6GgR-ZbFI Enjoy 🎈

❄️winter break❄️ The temporal graph learning reading group will be back from winter break on January 16th, 2025 with "Interpreting Temporal Graph Neural Networks with Koopman Theory" (Presenter: Michele Guerra) Until then: Have a nice winter 🎄🌟🥂

The recording of our presentation for "TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs" at the @tempgraphrg.bsky.social Reading Group is now available on YouTube: youtu.be/w35ilttAhws 🍿🍿🍿

📫 Join us this Thursday, Nov 28, at 11 AM EST! 📫 Przemysław Andrzej Wałega will present "Expressive Power of Temporal Message Passing" at our reading group. Details + link on our website! See you there! 👋 arxiv.org/pdf/2408.09918

🌟 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!

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