There is still time to apply! If you are looking for an #internship on #geometric #deep #learning for long-range propagation, then join the Intelligent Software Systems (ISS) group at NEC Labs Europe 👩‍🚀🚀

📢 In our new blogpost w/ Michael Bronstein Haitao Mao Jianan Zhao Zhaocheng Zhu we discuss foundation models in Graph & Geometric DL: from the core theoretical and data challenges to the most recent models that you can try already today! towardsdatascience.com/foundation-mod…

#EarlyCareer Get inspired at the Early Career Track at #IJCAI2024! 🗣️Among this year's speakers is Christopher Morris Christopher Morris ➡️ chrsmrrs.github.io #AI #Research #Innovation #ArtificialIntelligence

Each week, we want to highlight Learning on Graphs Conference 2024 papers! ✨ Check out "WL meet VC" by Christopher Morris Christopher Morris, Floris Geert, Jan Tönshoff Jan Tönshof, and Martin Grohe! proceedings.mlr.press/v202/morris23a…

Brainstorming at EEML with leading Google DeepMind research scientists on GNNs🕸️and neural algorithmic reasoning in Novi Sad 🇷🇸. w/ Petar Veličković Andreea Deac Chendi Qian Andrei Manolache Alicja Ziarko JJ Wilson Hải Yến Vũ Thị, Ognjen Stefanovic Stjepan Pozgaj Tigran Fahradyan @haririAli9

1/ I'm pleased to announce that Adrián Arnaiz and I will be presenting a tutorial on Graph Learning: Principles, Challenges, and Open Directions at ICML 2024 in Vienna! If you've ever been curious about ML on graphs, this is your chance to learn! Monday, July 21 @ 3:30pm CEST.

I’ll be at ICML Conference next week, presenting joint work with Christopher Morris: “Aligning Transformers with Weisfeiler-Leman” on Tuesday, 11:30am. Happy to chat about graph learning, algorithmic reasoning and transformers. See you there 🥳

Amazing hot takes on GNNs from Bryan Perozzi Michael Bronstein Christopher Morris Michael Galkin 🔥🌶️ #ICML2024

What a fantastic panel discussion with a lot of lively and spirited discussion/debate among Christopher Morris, Michael Bronstein, Michael Galkin, Bryan Perozzi at the ICML tutorial on Graph Learning: Principles, Challenges, and Open Directions! #ICML2024 ICML Conference

Position paper on GNN theory ⁦Fabrizio Frasca⁩ ⁦Christopher Morris⁩

Best part of ICML so far! Fun dinner with lots of nice people working on graph machine learning and beyond.

Come to our Graph Learning Social today ICML Conference at 5:30pm in room Stolz 1! Tentative panelists: Christopher Morris Haggai Maron Fabrizio Frasca Derek Lim Corinna Coupette and Dimitrios Athanasakis 🔥

I sooo much agree with this. Academic jobs require juggling too many balls with barely any support (grant writing, teaching, managing a research group, supervising students and … research). Take two hrs everyday before you look at email and social media. search.app/nnTKNba5Dqv8Eu…

I'm also recruiting PhD/MSc students this coming cycle, with an eye towards applications in drug discovery. cs.toronto.edu/~cmaddis/ DM me or email me if you have any questions at all!

Our first featured LoG2024 Meetup will be held in Aachen Dates: 27-28 Nov. Reference organizer: Christopher Morris The call for local meetup is still open. Do not hesitate to send us your proposal!

UPDATE: As promised, we have now uploaded the slides from our popular 2024 ICML tutorial on "Graph Learning: Principles, Challenges, and Open Directions" to the tutorial website! The video recording and code samples will follow soon. Stay tuned! icml2024graphs.ameyavelingker.com

🚨 Only 2 weeks left! 🚨 Don't miss your chance to submit to the LoG conference. Share your research and innovations in graph.📚Submit your work by September 4th (abstract ddl). More details at logconference.org/cfp/ #LoG2024 #MachineLearning #AIResearch

I am happy to announce that Aleksandar Bojchevski, Michael Schaub, Martin Grohe, and I are organizing a Learning on Graphs Conference 2024 local meet-up in Aachen (27.11.-28.11.), including keynotes from Stephan Günnemann and Rebekka Burkholz. See log-rwth.github.io/log-meetup-202… for more information.