
Associate professor at @univienna leading the work group Machine Learning with Graphs.
Vienna, Austria
Joined October 2018
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Nils M. Kriege retweeted
📢22nd International Workshop on Mining and Learning with Graphs: deadline extended to June 19th!
📄Submit your work now at mlg-europe.github.io!
Nils M. Kriege retweeted
𝐎𝐧𝐥𝐲 𝟒 𝐝𝐚𝐲𝐬 𝐥𝐞𝐟𝐭 to submit your work to the Mining and Learning with Graphs (MLG) workshop @ECMLPKDD 📄🗓️
Deadline is 14th of June!
More info at mlg-europe.github.io
𝐔𝐩𝐝𝐚𝐭𝐞:
The 22nd Mining and Learning with Graphs workshop @ECMLPKDD will be on 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟏𝟓𝐭𝐡.
We will have exciting keynotes by Rebekka Burgholz @BurkholzRebekka and Matthias Fey @rusty1s!
Submit your work until June 14th at mlg-europe.github.io!
Nils M. Kriege retweeted
𝐔𝐩𝐝𝐚𝐭𝐞:
The 22nd Mining and Learning with Graphs workshop @ECMLPKDD will be on 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟏𝟓𝐭𝐡.
We will have exciting keynotes by Rebekka Burgholz @BurkholzRebekka and Matthias Fey @rusty1s!
Submit your work until June 14th at mlg-europe.github.io!
Nils M. Kriege retweeted
The 22nd Mining and Learning with Graphs workshop will be @ECMLPKDD in Porto!
We will have exciting keynotes by Rebekka Burgholz @BurkholzRebekka and Matthias Fey @rusty1s, and plenty of time for socializing.
Submit your work until 14th of June at mlg-europe.github.io!
Nils M. Kriege retweeted
Maximally Expressive GNNs for Outerplanar Graphs
Franka Bause, Fabian Jogl, Patrick Indri et al..
Action editor: Ellen Vitercik.
openreview.net/forum?id=XxbQ…
#graphs #graph #mpnns
Nils M. Kriege retweeted
Open for Applications 🙌
⭐️Full Professorship in 'Communication Technologies'
⭐️Tenure-Track Professorships in the fields of 'Responsible Computing' and 'Business Informatics'
⭐️Full Professorship in 'Didactics of Computer Science'
➡️informatik.univie.ac.at/open…
Nils M. Kriege retweeted
Spannende Einblicke beim Austrian Computer Science Day 2024! 🚀 Thema: "Networks in AI". 📅 14. Juni 2024, 9-17:45 Uhr, Uni Wien. Feiern Sie mit uns 20 Jahre Informatik-Fakultät & 50 Jahre Informatik-Lehrprogramm! Mehr Infos: shorturl.at/TRzzJ #ACSD2024 #KI
Nils M. Kriege retweeted
Submit your work to the Mining and Learning with Graphs (MLG) workshop until June 15th at cmt3.research.microsoft.com/…
More info at mlg-europe.github.io
See you all in Vilnius!
The 22nd Mining and Learning with Graphs (MLG) workshop is once again at @ECMLPKDD in beautiful Vilnius, either 9th or 13th Sep!
We are happy to host two amazing keynote speakers Yllka Velaj and @HaggaiMaron!
Submit your work until June 15th at mlg-europe.github.io.
Nils M. Kriege retweeted
Our paper "Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent" was accepted for KDD 2024!
Thanks to Lorenz Kummer, @sschritt, @nmkriege, and Wilfried Gansterer.
See our work here: arxiv.org/abs/2311.01205
#KDD2024 #GraphNeuralNetworks #GNN
Nils M. Kriege retweeted
Save the date! The Austrian Computer Science Day 2024 will take place on June 14th at the University of Vienna. Be part of strengthening the visibility of computer science and fostering collaboration! acsd2024.univie.ac.at/
#ACSD2024 #ComputerScience #AI
Nils M. Kriege retweeted
The 22nd Mining and Learning with Graphs (MLG) workshop is once again at @ECMLPKDD in beautiful Vilnius, either 9th or 13th Sep!
We are happy to host two amazing keynote speakers Yllka Velaj and @HaggaiMaron!
Submit your work until June 15th at mlg-europe.github.io.
Nils M. Kriege retweeted
Want to learn in-depth about the emerging connections between Weisfeiler-Leman and GNNs? Check out our JMLR paper: jmlr.org/papers/v24/22-0240.….
Joint work with very nice co-authors: @lipmanya, @HaggaiMaron, @Pseudomanifold, @nmkriege, Martin Grohe, @rusty1s, and @kmborgwardt.
Nils M. Kriege retweeted
🌟3 New Tenure-Track Professorships🌟 Looking for outstanding early-career researchers who work in the fields of Theoretical Computer Science, Information Systems Engineering and Business Informatics– Intelligent Information Systems. Apply by 15.01.2024 👉informatik.univie.ac.at/en/n…
Nils M. Kriege retweeted
Excited to announce the 20th Mining and Learning with Graphs (MLG) workshop @ECMLPKDD in Turin, Italy!
With a tutorial by Davide Bacciu and keynotes by @giannis_nikole and @Pseudomanifold
Submit your work by June 12th at mlg-europe.github.io/
Nils M. Kriege retweeted
“Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond” out in @NatureComms: rdcu.be/c8q12. Great collaboration with Sepideh Sadegh, @KacprowskiTim, @janbaumbach, @cosybio_UHH, @aibe_fau, and many more.
Nils M. Kriege retweeted
We're proud to share the work of our #DoCSunivie students in collaboration with @tu_wien to create the C'est La Wien - the 1st community event for machine learning PhD students of Vienna! 🥳👏 @csunivie @univienna
Nils M. Kriege retweeted
Very much looking forward to our 1st community event for machine learning PhD students in Vienna (C'Est La Wien) with amazing keynote speakers and many social activities! cestlawien.github.io/ Co-organised with PhD students from @tu_wien and @univienna.
C’Est La Wien - 27.02.2023
The Community Event for Students of Learning Algorithms in Vienna is a workshop aimed at PhD students in machine learning
cestlawien.github.io/
w/ @AleAviP @muronglizi @MMondelli ...
Nils M. Kriege retweeted
Meet Franka Bause (@frar3ba): She investigates scalable similarity measures for graphs. »» Projects and publications by Franka Bause: 👇dm.cs.univie.ac.at/team/pers… #algorithmicDataScience #WomenInScience #WomenInSTEM
Nils M. Kriege retweeted
#SSDD23 We look forward to seeing you all in Vienna. 🥳 After the last edition of our #SummerSchool on #DrugDesign 2021 unfortunately had to take place online, we can finally see each other again in person! September 10 - 15 #SaveTheDate #pharminfo
pharminfo.univie.ac.at/summe…
Nils M. Kriege retweeted
Our wonderful machine learning research unit ml-tuw.github.io @tu_wien lead by Prof. Thomas Gärtner is looking for a new postdoc for 2-6 years. Please check out the application page jobs.tuwien.ac.at/Job/199114 (deadline 12th Jan 2023) and feel free to reach out.






















