Temporal Graph Learning Reading Group
@tempgraphrg.bsky.social
🔸Reading Group🔸 Research on Temporal Graph Learning 🔸Thursdays 11am-12pm EST🔸 zoom 🔸
Organizers: @shenyanghuangtg.bsky.social;
FarimahPoursafaei; @juliagasti.bsky.social; @vstenby.bsky.social
website: shenyanghuang.github.io/rg.html
Organizers: @shenyanghuangtg.bsky.social;
FarimahPoursafaei; @juliagasti.bsky.social; @vstenby.bsky.social
website: shenyanghuang.github.io/rg.html
🪩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.
Looking forward to seeing you!
zoom link on website.
November 5, 2025 at 6:50 AM
🪩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.
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 :)
👩🔬 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
October 29, 2025 at 7:27 AM
🗓️ 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 :)
👩🔬 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. 🥳
zoom link on website. 🥳
October 21, 2025 at 11:44 AM
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. 🥳
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
See you there 🥳🥳
zoom link on our website
October 14, 2025 at 8:52 AM
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
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!
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning 😊
zoom link on website!
October 8, 2025 at 11:59 AM
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!
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!
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
October 1, 2025 at 2:37 PM
📚 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!
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 🥳
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
September 9, 2025 at 6:52 AM
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
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!
🗓️ 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
August 26, 2025 at 1:49 PM
📚 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!
🗓️ 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! 🥳
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
August 11, 2025 at 11:48 AM
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! 🥳
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) 🎉🥳
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) 🎉🥳
July 21, 2025 at 6:16 AM
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) 🎉🥳
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) 🎉🥳
Reposted by Temporal Graph Learning Reading Group
💡deadline extension for our Temporal Graph Learning workshop: new deadline is May 25th, AOE 💡
looking forward to your submissions!
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.
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.
📢 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...
📜 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...
May 19, 2025 at 2:00 PM
💡deadline extension for our Temporal Graph Learning workshop: new deadline is May 25th, AOE 💡
looking forward to your submissions!
looking forward to your submissions!
Reposted by Temporal Graph Learning Reading Group
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.
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.
📢 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...
📜 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
May 15, 2025 at 7:01 AM
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.
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
🗓 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
April 29, 2025 at 1:32 PM
📚 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
🗓 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...
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
April 23, 2025 at 12:24 PM
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...
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...
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
April 15, 2025 at 12:24 PM
☀️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 Efficiency (ICLR 2025 Spotlight)
Looking forward to seeing you there!
zoom link on website
paper: openreview.net/forum?id=tj5...
Reposted by Temporal Graph Learning Reading Group
🌟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!
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
April 15, 2025 at 7:24 AM
🌟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!
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
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
April 8, 2025 at 1:09 PM
🚀 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
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
Reposted by Temporal Graph Learning Reading Group
📢 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...
📜 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
April 7, 2025 at 6:35 PM
📢 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...
📜 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!
zoom link on our website!
March 25, 2025 at 12:51 PM
❤️ 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!
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
See you on thursday, March 20, 11am EDT on zoom (link on website)
arxiv.org/abs/2407.09618
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
Homophily principle, \ie{} nodes with the same labels or similar attributes are more likely to be connected, has been commonly believed to be the main reason for the superiority of Graph Neural Networ...
arxiv.org
March 18, 2025 at 4:58 PM
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
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...
📅 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...
arxiv.org
March 11, 2025 at 4:59 PM
🚨🌺 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...
📅 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)
🧠 Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs (NeurIPS 2024)
👥 Presented by Franziska Heeg (JMU Würzburg)
March 4, 2025 at 1:24 PM
📢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)
🧠 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
"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
UTG: Towards a Unified View of Snapshot and Event Based Models for...
Many real world graphs are inherently dynamic, constantly evolving with node and edge additions. These graphs can be represented by temporal graphs, either through a stream of edge events or a...
openreview.net
February 24, 2025 at 3:40 PM
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
"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
🪩
zoom link on website
February 19, 2025 at 8:54 AM
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
🪩
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...
Looking forward to seeing you there! 🎉🎉
Zoom link on website
openreview.net/forum?id=266...
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
_Graph Neural Tangent Kernel_ (GNTK) fuses graph neural networks and graph kernels, simplifies the process of graph representation learning, interprets the training dynamics of graph neural...
openreview.net
February 11, 2025 at 12:44 PM
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...
Looking forward to seeing you there! 🎉🎉
Zoom link on website
openreview.net/forum?id=266...