TENET@CSS is here! join us in Room15 β¨
03.09.2025 08:12 β π 4 π 2 π¬ 0 π 0@juliagasti.bsky.social
Temporal Knowledge Graphs and Fish Jokes PhD student at University of Mannheim Previously Research Scientist at NEC Laboratories Europe and Collaborating Researcher at Mila (She/Her)
TENET@CSS is here! join us in Room15 β¨
03.09.2025 08:12 β π 4 π 2 π¬ 0 π 0Good 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) ππ₯³
π‘deadline extension for our Temporal Graph Learning workshop: new deadline is May 25th, AOE π‘
looking forward to your submissions!
π¨Deadline extensionπ¨
If youβre interested in Temporal Networks, donβt miss the chance to submit your work to the TENET satellite @CCS in Siena!
π
New deadline: June, 16 2025
πSubmit two page abstract
More info here: sites.google.com/view/tenet-c...
π¨ 15 days left! π¨
Don't miss the Call for Papers for the 3rd Temporal Graph Learning Workshop at KDD 2025 β¨
π
Deadline: May 20 (OpenReview)
π sites.google.com/view/tgl-wor...
π’ Join us for the TENET satellite at #CCS in Siena on September 3!
π Following the enthusiasm for the NetSci edition, we're bringing together researchers working on Temporal Networks!
βοΈ 2 pages abstracts
π
Submit by May 15, 2025
ππ» tinyurl.com/3mva3psh
πCall for Reviewers!π
We are currently recruiting reviewers for our upcoming workshop and would love to have your expertise on board!
Timeline: May 2025
π Please sign up here: docs.google.com/forms/d/e/1F...
Thank you for supporting the workshop!
π’ Announcing the third edition of Temporal Graph Learning Workshop at KDD 2025 π’
π Call for Papers: Submit your work on Temporal Graphs, Evolving Relational Data, Spatio-Temporal Graphs & more!
π
Submission Deadline: May 20 AoE (Openreview)
sites.google.com/view/tgl-wor...
More than 2000 Scientists living, working or educated in Germany have already signed this appeal by @de.scientists4future.org to the members of the newly elected parliament to step up efforts for climate protection. Click here www.bayceer.uni-bayreuth.de/s4f/de/top/o... if you'd like to join.
11.03.2025 10:23 β π 31 π 21 π¬ 0 π 1This week we look forward to an exciting talk featuring two #LOG2024 papers!
π’ Towards Neural Scaling Laws on Graphs & Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
π€ Jingzhe Liu (MSU) & Qian Ma (RPI)
π
11am EST, Feb 6 (Thu)
π Zoom (link on website)
Donβt miss it! π₯
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 β¨
go.bsky.app/Z7X5KH
π¨ The Temporal Graph Learning Reading Group is back from winter break! π¨
π
Thursday, Jan 16th, 11am ET (on Zoom)
π Topic: Interpreting Temporal Graph Neural Networks with Koopman Theory
π¨βπ¬ Speaker: Michele Guerra
π Paper: arxiv.org/pdf/2410.13469
π Zoom link: Check our website!
See you on thursday!
@mila-quebec.bsky.social
11.12.2024 05:48 β π 0 π 0 π¬ 0 π 0Hey, if you don't mind I would love to be added as well :) working on graph-based machine learning.
11.12.2024 05:36 β π 0 π 0 π¬ 1 π 0Today I attended the Women in Machine Learning workshop at #NeurIPS24. What an amazing event: inspiring talks, a great mentoring session with super kind mentors, and a truly insightful panel discussion!
It's really motivating to see that many intelligent and kind female role models in one place β€οΈ
If you're at @neuripsconf.bsky.social and want to talk about TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs, drop by our poster!
- When? tomorrow, wednesday, dec 12th 4:30-7:30pm.
- Where? Poster #3000, Poster Session 2 East.
#NeurIPS
Whatβs a pirateβs favorite fish? Arrrrrrctic cod!
03.12.2024 15:54 β π 0 π 0 π¬ 0 π 0The 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
πΏπΏπΏ
Honored to be recognized as one of the top reviewers at @logconference.bsky.social ! Huge thanks to the organizers for putting together such an excellent event. ππ
02.12.2024 07:25 β π 3 π 0 π¬ 0 π 0@knutole.bsky.socialβ¬ thanks for your interest. Unfortuntaly the presentation was not recorded, but if you have any questions please let me know :)
28.11.2024 16:03 β π 1 π 0 π¬ 0 π 0π« Join us this Thursday, Nov 28, at 11 AM EST! π«
PrzemysΕaw Andrzej WaΕega will present "Expressive Power of Temporal Message Passing" at our reading group.
Details + link on our website! See you there! π
arxiv.org/pdf/2408.09918
This wednesday I will present our work "Dynamic Representations of Global Crises: A Temporal Knowledge Graph for Conflicts, Trade, and Value Networks"
π
When: Wednesday, Nov 27th, 8 PM CET
π Where: Virtual Poster Session @logconference.bsky.social
Stop by and say hi if you're interested! π
Thanks for creating this!
I would be happy to join :)
Hey :) Would love to be added if possible. Thanks for creating this! π₯³
18.11.2024 16:04 β π 1 π 0 π¬ 0 π 0π Join our Temporal Graph Learning Reading Group! π
π
Every Thursday
β° 11 AM EST
π On Zoom (link on our website!)
Let's discuss cool research on temporal graphs! πͺ©π₯³π©βπ«
Hope to see you there!
thanks a lot for creating these starter packs! I'm a phd student at University of Mannheim, working on (temporal) knowledge graphs. It would be great if you could add me to the ML/AI researchers pack :)
18.11.2024 14:47 β π 0 π 0 π¬ 0 π 0TGB 2.0 extends the Temporal Graph Benchmark (TGB) to temporal knowledge and heterogeneous graphs, offering a collection of diverse, challenging datasets.
Our goal: a realistic, reproducible, and robust evaluation platform for ML on multi-relational temporal graphs.
π₯³ Happy to announce that TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs & Heterogeneous Graphs was accepted at #NeurIPS2024 Datasets and Benchmarks Track!
πhttps://arxiv.org/abs/2406.09639v2
π»https://github.com/shenyangHuang/TGB
πhttps://tgb.complexdatalab.com