temporal graph learning reading group (@tempgraph_rg) 's Twitter Profile
temporal graph learning reading group

@tempgraph_rg

๐Ÿ”ธReading Group for Research on Temporal Graph Learning ๐Ÿ”ธThursdays 11am-12pm ET ๐Ÿ”ธ zoom ๐Ÿ”ธ
@shenyangHuang FarimahPoursafaei @juliagasti.bsky.social

ID: 1622614868292501505

linkhttps://shenyanghuang.github.io/rg.html calendar_today06-02-2023 15:16:18

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temporal graph learning reading group (@tempgraph_rg) 's Twitter Profile Photo

๐Ÿšจ๐ŸŒบ Time zone update: EST โ†’ EDT! ๐Ÿ“… Reading Group: Thursday, March 13 ๐Ÿ•š 11 AM EDT This week, Zifeng Ding presents DyGMamba โ€“ Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. arxiv.org/pdf/2408.04713โ€ฆ

temporal graph learning reading group (@tempgraph_rg) 's Twitter Profile Photo

โค๏ธ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 โค๏ธ zoom link on our website!

TGL Workshop (@tgl_workshop) 's Twitter Profile Photo

๐Ÿ“ข Announcing the third edition of Temporal Graph Learning Workshop at KDD 2025 ๐Ÿ“ข ๐Ÿ“œ Call for Papers: Submit your work on Temporal Graphs, Evolving Relational Data, Spatio-Temporal Graphs & more! ๐Ÿ“… Submission Deadline: May 20 AoE (Openreview)

temporal graph learning reading group (@tempgraph_rg) 's Twitter Profile Photo

๐Ÿš€ Time zone update: CET โ†’ CEST! ๐Ÿš€ Join us at the Reading Group this Thursday, April 10, 11 AM EDT / 5 PM CEST! ๐ŸŽ™๏ธ ๐Ÿ”น Speaker: Veronica Lachi (FBK) ๐Ÿ”น Paper: Boosting Relational Deep Learning with Pretrained Tabular Models ๐Ÿ”น Zoom link on website arxiv.org/pdf/2504.04934

TGL Workshop (@tgl_workshop) 's Twitter Profile Photo

๐ŸŒŸCall for Reviewers!๐ŸŒŸ We are currently recruiting reviewers for our upcoming workshop and would love to have your expertise on board! Timeline: May 2025 ๐Ÿ“ Please sign up here: docs.google.com/forms/d/e/1FAIโ€ฆ Thank you for supporting the workshop!

temporal graph learning reading group (@tempgraph_rg) 's Twitter Profile Photo

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 ๐ŸŒŸ zoom link on website! openreview.net/forum?id=8e2Liโ€ฆ

temporal graph learning reading group (@tempgraph_rg) 's Twitter Profile Photo

๐Ÿ“š This week's reading group: ๐Ÿ—“ Thursday, May 1st | ๐Ÿ•š 11am EDT ๐ŸŽ™ Jason Schoeters (Univ. of Florence, DISIA Lab) presents: Spanners in Temporal Graphs ๐Ÿ”— Paper | sciencedirect.com/science/articlโ€ฆ ๐Ÿชฉzoom link on website. #Graph #TemporalGraph

TGL Workshop (@tgl_workshop) 's Twitter Profile Photo

๐Ÿšจ 15 days left! ๐Ÿšจ Don't miss the Call for Papers for the 3rd Temporal Graph Learning Workshop at KDD 2025 SIGKDD 2025 ๐Ÿ“… Deadline: May 20 (OpenReview) ๐Ÿ”—sites.google.com/view/tgl-worksโ€ฆ

TGL Workshop (@tgl_workshop) 's Twitter Profile Photo

๐Ÿ’กdeadline extension for our Temporal Graph Learning workshop: new deadline is May 25th, AOE ๐Ÿ’ก looking forward to your submissions!

temporal graph learning reading group (@tempgraph_rg) 's Twitter Profile Photo

This week at the reading group, thursday, August 14th, 11am EDT (5pm CEST), Shenyang Huang 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! ๐Ÿฅณ

temporal graph learning reading group (@tempgraph_rg) 's Twitter Profile Photo

๐Ÿ“š This week at the Temporal Graph Learning Reading Group! ๐Ÿ—“๏ธ Thu, Aug 21 ยท 11am EDT / 5pm CEST ๐ŸŽ™๏ธ Fang Wu & Vijay Prakash Dwivedi (Stanford) ๐Ÿ“– Large Language Models are Good Relational Learners ๐Ÿ”— Paper: arxiv.org/pdf/2506.05725 ๐Ÿ’ป Zoom link on website Join us! ๐ŸŽ‰

temporal graph learning reading group (@tempgraph_rg) 's Twitter Profile Photo

๐Ÿ“š This week, another reading group: ๐Ÿ“† Thursday, August 28th | ๐Ÿ•š 11am EDT, 5pm CEST ๐ŸŽ™๏ธ Kiarash Shamsi, University of Manitoba presents MiNT: Multi-Network Training for Transfer Learning on Temporal Graphs ๐Ÿ”— Paper | arxiv.org/abs/2406.10426 ๐Ÿง‘โ€๐Ÿ’ป Zoom link on the webpage!