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Julia Gastinger

@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)

1,085 Followers  |  319 Following  |  16 Posts  |  Joined: 14.11.2024  |  2.0384

Latest posts by juliagasti.bsky.social on Bluesky

TENET@CSS is here! join us in Room15 ✨

03.09.2025 08:12 β€” πŸ‘ 4    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0

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) πŸŽ‰πŸ₯³

21.07.2025 06:16 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0

πŸ’‘deadline extension for our Temporal Graph Learning workshop: new deadline is May 25th, AOE πŸ’‘

looking forward to your submissions!

19.05.2025 14:00 β€” πŸ‘ 3    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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TENET@CCS25 Temporal networks are powerful models for understanding dynamical complex systems where entities and interactions appear and vanish as time goes by. Unlike static networks, which simply provide a snap...

🚨Deadline extension🚨

If you’re interested in Temporal Networks, don’t miss the chance to submit your work to the TENET satellite @CCS in Siena!
πŸ“…New deadline: June, 16 2025
πŸ“Submit two page abstract

More info here: sites.google.com/view/tenet-c...

13.05.2025 08:12 β€” πŸ‘ 9    πŸ” 7    πŸ’¬ 0    πŸ“Œ 0

🚨 15 days left! 🚨

Don't miss the Call for Papers for the 3rd Temporal Graph Learning Workshop at KDD 2025 ✨

πŸ“… Deadline: May 20 (OpenReview)
πŸ”— sites.google.com/view/tgl-wor...

05.05.2025 07:05 β€” πŸ‘ 1    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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TENET@CCS25 Temporal networks are powerful models for understanding dynamical complex systems where entities and interactions appear and vanish as time goes by. Unlike static networks, which simply provide a snap...

πŸ“’ Join us for the TENET satellite at #CCS in Siena on September 3!
πŸ”Ž Following the enthusiasm for the NetSci edition, we're bringing together researchers working on Temporal Networks!
✍️ 2 pages abstracts
πŸ“… Submit by May 15, 2025
πŸ‘‰πŸ» tinyurl.com/3mva3psh

24.04.2025 07:26 β€” πŸ‘ 7    πŸ” 5    πŸ’¬ 0    πŸ“Œ 1
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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...

🌟Call for Reviewers!🌟
We are currently recruiting reviewers for our upcoming workshop and would love to have your expertise on board!

Timeline: May 2025

πŸ“ Please sign up here: docs.google.com/forms/d/e/1F...

Thank you for supporting the workshop!

15.04.2025 07:23 β€” πŸ‘ 5    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0
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TGL Workshop 2025 Key dates

πŸ“’ Announcing the third edition of Temporal Graph Learning Workshop at KDD 2025 πŸ“’

πŸ“œ Call for Papers: Submit your work on Temporal Graphs, Evolving Relational Data, Spatio-Temporal Graphs & more!

πŸ“… Submission Deadline: May 20 AoE (Openreview)

sites.google.com/view/tgl-wor...

07.04.2025 18:35 β€” πŸ‘ 3    πŸ” 4    πŸ’¬ 1    πŸ“Œ 3
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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€” πŸ‘ 31    πŸ” 21    πŸ’¬ 0    πŸ“Œ 1

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

03.02.2025 17:57 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0

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

20.01.2025 09:11 β€” πŸ‘ 6    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

🚨 The Temporal Graph Learning Reading Group is back from winter break! 🚨

πŸ“… Thursday, Jan 16th, 11am ET (on Zoom)
πŸ“– Topic: Interpreting Temporal Graph Neural Networks with Koopman Theory
πŸ‘¨β€πŸ”¬ Speaker: Michele Guerra
πŸ“„ Paper: arxiv.org/pdf/2410.13469
πŸ”— Zoom link: Check our website!

See you on thursday!

14.01.2025 15:19 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 2

@mila-quebec.bsky.social

11.12.2024 05:48 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Hey, 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€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Today 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 ❀️

11.12.2024 05:23 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

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

11.12.2024 05:07 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0

What’s a pirate’s favorite fish? Arrrrrrctic cod!

03.12.2024 15:54 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

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
🍿🍿🍿

02.12.2024 07:31 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

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. πŸ‘πŸŽ‰

02.12.2024 07:25 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

@knutole.bsky.social‬ 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€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

πŸ“« Join us this Thursday, Nov 28, at 11 AM EST! πŸ“«

PrzemysΕ‚aw Andrzej WaΕ‚ega will present "Expressive Power of Temporal Message Passing" at our reading group.

Details + link on our website! See you there! πŸ‘‹

arxiv.org/pdf/2408.09918

26.11.2024 12:46 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 1
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Dynamic Representations of Global Crises: A Temporal Knowledge... This paper presents a novel approach to understanding global crises and trade patterns through the creation and analysis of a Temporal Knowledge Graph (TKG), and the application of Temporal...

Paper: openreview.net/forum?id=Lip...

25.11.2024 13:51 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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This wednesday I will present our work "Dynamic Representations of Global Crises: A Temporal Knowledge Graph for Conflicts, Trade, and Value Networks"

πŸ“… When: Wednesday, Nov 27th, 8 PM CET
πŸ“ Where: Virtual Poster Session @logconference.bsky.social

Stop by and say hi if you're interested! 😊

25.11.2024 13:51 β€” πŸ‘ 5    πŸ” 0    πŸ’¬ 2    πŸ“Œ 0

Thanks for creating this!
I would be happy to join :)

19.11.2024 12:30 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Hey :) Would love to be added if possible. Thanks for creating this! πŸ₯³

18.11.2024 16:04 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

🌟 Join our Temporal Graph Learning Reading Group! 🌟
πŸ“… Every Thursday
⏰ 11 AM EST
πŸ“ On Zoom (link on our website!)

Let's discuss cool research on temporal graphs! πŸͺ©πŸ₯³πŸ‘©β€πŸ«
Hope to see you there!

18.11.2024 15:48 β€” πŸ‘ 3    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0

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€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

TGB 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.

18.11.2024 14:44 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

πŸ₯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!
πŸ“œhttps://arxiv.org/abs/2406.09639v2
πŸ’»https://github.com/shenyangHuang/TGB
🌎https://tgb.complexdatalab.com

18.11.2024 14:44 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 1    πŸ“Œ 2

@juliagasti is following 20 prominent accounts