DaSciM team

Data Science and Mining team @polytechnique.
AI for Bigdata

[DaSciM team @dascim_polytech]

Prof M. Vazirgiannis (@mvazirg) offers a keynote speech entitled "GNNs and Graph Generative models for ... - https://t.co/z1D6ufhNNs

[DaSciM team @dascim_polytech]

Paper Accepted #ICML2023 - https://t.co/QQpbBoqawe

[Michail Chatzianastasis @MichailChatzia1]

Excited to share that our paper 'Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations' with @giannis_nikole and @mvazirg has been accepted at #AISTATS2023 @aistats_conf !

[Johannes Lutzeyer @JLutzeyer]

Next Tuesday at noon, I will be presenting some of our work in the area of Graph Representation Learning. Please come join us if you are in the Saclay region.

Thank you very much @tomamoral and Victor-Emmanuel Brunel for the invitation and organisation!

[Yanzhu GUO @ ACL @yanzhu_guo]

#EMNLP2022
Excited to present my paper “Questioning the Validity of Summarization Datasets and Improving Their Factuality” in poster session 8 tomorrow 9:00-10:30 am. #NLProc

Many thanks to my advisors @mvazirg and @ChloeDClavel!

[Michail Chatzianastasis @MichailChatzia1]

Thrilled to announce that our paper "Graph Ordering Attention Networks" has been accepted at @RealAAAI #AAAI2023. Many thanks to my amazing co-authors @JLutzeyer , @GDasoulas and my advisor @mvazirg . (1/n)

[DaSciM team @dascim_polytech]

🆙We are super excited to have @JLutzeyer continue in our team as Assistant Professor, after two years of brilliant postdoctoral research!!!
🎉A great evolution for DaSciM!!!

[Johannes Lutzeyer @JLutzeyer]

Starting September, I will be working as an Assistant Professor in @dascim_polytech @LIX_lab @Polytechnique @IP_Paris_!

I am excited by the prospect of working with graphs & GNNs for many years to come and to keep interacting with the brilliant @IP_Paris_ students & colleagues.

[DaSciM team @dascim_polytech]

- "Mass Enhanced Node Embeddings for Drug Repurposing" by @giannis_nikole , @MichailChatzia1 accepted in the ICML - Workshop on Computational Biology
Congratulations to all!

[DaSciM team @dascim_polytech]

Congratulations to @giannis_nikole and @GDasoulas for their paper: “Permute Me Softly: Learning Soft Permutations for Graph Representations” accepted for publication to the prestigious TPAMI journal!!! Bravo!

[DaSciM team @dascim_polytech]

Also congrats to the authors of previous papers accepted this month:
- "Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction" by @gsalhagalvan @JLutzeyer @GDasoulas accepted for publication in Elsevier's Neural Networks journal

[Deezer Research @researchdeezer]

New journal paper alert! 🚨

Congratulations to @gsalhagalvan, @JLutzeyer, @GDasoulas, R. Hennequin, and @mvazirg, for their paper on "Modularity-Aware Graph Autoencoders" accepted for publication in @ElsevierConnect's Neural Networks journal (IF: 8.05)!

@Deezer @Polytechnique

[DaSciM team @dascim_polytech]

👉 Check out our group's work "Node Feature Kernels Increase Graph Convolutional Network Robustness" tomorrow at #AISTATS2022

[Johannes Lutzeyer @JLutzeyer]

Tomorrow 12:30-14:00 CET, @cmwu8, @melaseddik, @mvazirg and I will present our joint work at #AISTATS2022. Please join us there; we are excited to meet you!

https://t.co/f9AQpgSggu

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[DaSciM team @dascim_polytech]

⬇️Check out this great talk by @JLutzeyer, postdoctoral researcher in our group!

[Johannes Lutzeyer @JLutzeyer]

Yesterday I had the pleasure of speaking at the workshop on "Recent Advances in Graph Machine Learning" (https://t.co/PIHG0OcBsB). I would like to thank @n_keriven & E. Oyallon for the smooth organisation.

In case you are curious, here are my slides: https://t.co/kW8Ri00gPS

[DaSciM team @dascim_polytech]

[#Research] We are glad to co-organise the seminar series "Law, Society & AI", result of joint effort between @IP_Paris_ and @HECParis.
Talks take place online as well as on the @ParisSaclay campus. #AI #LegalTech
Check out the link here👉https://t.co/RlbQL1HHzE

[Andrej Karpathy @karpathy]

Great paper and thread!
- 😮that super simple MSE loss works vs. BEiT-style dVAE (multi-modal) cross-entropy
- <3 efficiency of asymmetric encoder/decoder
- 👏detailed training recipes
- +1 v curious about dataset size scaling
- bit of lack of commentary on test-time protocol

[DaSciM team @dascim_polytech]

[#EVENT] A huge thanks to Prof. #JohnIoannidis for his inspirational talk on "Meta-Research and the Quest for Better Science" @Polytechnique @IP__Paris 👏
A memorable afternoon full of enlightening insights and meaningful exchanges🎊🎆

[DaSciM team @dascim_polytech]

#BREAKING We are super excited to host Prof. #JohnIoannidis, physician, writer and one of the top cited scientists in the world. He will give a talk entitled “Meta-Research and the Quest for Better Science” on November 10th @Polytechnique. Save the date!
👉https://t.co/GnRH7QUuOe

[DaSciM team @dascim_polytech]

#EVENT Check out our demos and prototypes presented at “la journée « prototypes, logiciels et plateformes »” @IP__Paris.
(https://t.co/yUSaKsWOby)
GraKeL : https://t.co/5H4w06wQJt
BARThez & BERTweetFR: https://t.co/g26k9agVXT

[M. Vazirgiannis @mvazirg]

Pls check my keynote speech “Towards GNN explainability: Random Walk Graph Neural Networks” today at the @GReS_Workshop @ACMRecSys #RecSys2021 @IP_Paris @Polytechnique (https://t.co/iiiApzPUX0)

[M. Vazirgiannis @mvazirg]

Significant French language resources learned from large scale web/twitter crawl. Static/contextual word embeddings, N-grams, end2end demos (summarisation, title generation). Thanks to
@AgenceRecherche
chair HELAS funding https://t.co/AWYIu9ATmD…
@IP__Paris @Polytechnique