George Dasoulas(@GDasoulas) 's Twitter Profileg
George Dasoulas

@GDasoulas

Postdoctoral Research Fellow @Harvard. Before: CS PhD @Polytechnique, ML Research @Huawei, ECE MSc @ntua. Machine learning for graphs.

ID:1438502197

linkhttps://gdasoulas.github.io/ calendar_today18-05-2013 14:05:12

39 Tweets

390 Followers

557 Following

George Dasoulas(@GDasoulas) 's Twitter Profile Photo

๐Ÿ“ขLooking for mentors! Join us at the LOGML Summer School 2024 to explore the blend of geometry & ML. Apply now: logml.ai

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George Dasoulas(@GDasoulas) 's Twitter Profile Photo

Check out our poster today at 6pm in ! My amazing collaborator Michail Chatzianastasis will present our new research work on capturing synergistic information among neighborhood interactions in graphs.
Tune in!

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George Dasoulas(@GDasoulas) 's Twitter Profile Photo

Exciting news ๐Ÿฅณ: Our new research paper on Graph Unlearning is accepted at ICLR 2023 ICLR 2024! Thanks to my coauthors Jiali Cheng, Huan He, Chirag Agarwal, and Marinka Zitnik for the great collaboration!!

More info about our work will be out soon!

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Marinka Zitnik(@marinkazitnik) 's Twitter Profile Photo

Looking forward to this panel: What is the 'right' and optimal graph structure for downstream ML?

Many alternative graph representations of the same data arxiv.org/abs/2209.03299 Yasha Ektefaie George Dasoulas

Learning on Graphs Conference 2023

Looking forward to this panel: What is the 'right' and optimal graph structure for downstream ML? Many alternative graph representations of the same data arxiv.org/abs/2209.03299 @YEktefaie @GDasoulas #log22 #log2022 #GNN #graphML @LogConference
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Johannes Lutzeyer(@JLutzeyer) 's Twitter Profile Photo

Besides this fantastic collaboration with Guillaume Salha-Galvan, George Dasoulas, R. Hennequin & M. Vazirgiannis at 11am-noon tomorrow. I will present two further contributions at workshops tomorrow.

Please come find me for discussions, I would love to learn from your questions.
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Marinka Zitnik(@marinkazitnik) 's Twitter Profile Photo

Excited about the future of using to bring diverse modalities together

Check our preprint on graph-centric multimodal representation learning ๐Ÿ‘‡

Led by fantastic students Yasha Ektefaie George Dasoulas Ayush Noori collab w Maha Farhat DBMI at Harvard Med Harvard Data Science Initiative

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Marinka Zitnik(@marinkazitnik) 's Twitter Profile Photo

Looking forward to meeting you all SIGKDD 2024 - On Monday I will give keynotes on:

Infusing Structure and Knowledge into Biomedical AI (10:45am)
kdd.org/kdd2022/cfDLDaโ€ฆ

Graph-Guided Networks for Complex Time Series (14:20am)
kdd-milets.github.io/milets2022

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