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!

This week at the reading group, April 16th, 11am EDT/ 5pm CEST, we are happy to welcome 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 🙂

This week at the reading group, thursday, April 2nd, 11am EDT/ 5pm CEST, we are happy to welcome Vahid Jalili, who will present The Temporal Graph of Bitcoin Transactions (NeurIPS 2025) zoom link on our website 🐰

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. 🌞

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)🥳

⏰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 :)

Fedivertex: a Graph Dataset based on Decentralized Social Networks for Trustworthy Machine Learning

Decentralized machine learning - where each client keeps its own data locally and uses its own computational resources to collaboratively train a model by exchanging peer-to-peer messages - is increas...

arxiv.org

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!

The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics

In recent years, the expressive power of various neural architectures -- including graph neural networks (GNNs), transformers, and recurrent neural networks -- has been characterised using tools from ...

arxiv.org

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 🥳

A large-scale benchmark for network inference from single-cell perturbation data - Communications Biology

The authors introduce CausalBench, a benchmark suite that enhances network inference evaluation with real-world, large-scale single-cell perturbation data.

nature.com

📚 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!

MiNT: Multi-Network Training for Transfer Learning on Temporal Graphs

Temporal Graph Learning (TGL) has become a robust framework for discovering patterns in dynamic networks and predicting future interactions. While existing research has largely concentrated on learnin...

arxiv.org

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! 🥳

Are Large Language Models Good Temporal Graph Learners?

Large Language Models (LLMs) have recently driven significant advancements in Natural Language Processing and various other applications. While a broad range of literature has explored the graph-reaso...

arxiv.org

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!

Temporal Graph Learning Workshop @ KDD@tgl-workshop.bsky.social · last yr.

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.

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.

Temporal Graph Learning Workshop @ KDD@tgl-workshop.bsky.social · last yr.

📢 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'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...

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex...

Future link prediction is a fundamental challenge in various real-world dynamic systems. To address this, numerous temporal graph neural networks (temporal GNNs) and benchmark datasets have been...

openreview.net

☀️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...

Temporal Heterogeneous Graph Generation with Privacy, Utility, and...

Nowadays, temporal heterogeneous graphs attract much research and industrial attention for building the next-generation Relational Deep Learning models and applications, due to their informative...

openreview.net

🌟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!

Reviewer Recruitment: TGL Workshop@ KDD 2025

Thank you for your interest in reviewing research submissions for the Temporal Graph Learning Workshop@ KDD 2025. Please fill out the information in this form, so we can know more about your backgroun...

docs.google.com

🚀 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...

TGL Workshop 2025

Key dates

sites.google.com

❤️ 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!