Assistant Professor in Data Science at Lancaster University Leipzig.
I like Graph Neural Networks with guarantees and I count subgraphs in my spare time.
Dear Network,
Jesse Read and I would like to advertise the attached PhD position (start date: September 2025).
We would like to work with you in the intersection of Graph Neural Networks, Reinforcement Learning, and Graph Signal Processing.
We look forward to hearing from you!
GLOW is starting in 30 minutes! Super excited about the talks today: First Transformer reasoning and then NNs that take other NNs as input 🌟 See you there!!
Ever needed a graph neural network with maximal expressivity on almost all molecules (aka 𝗼𝘂𝘁𝗲𝗿𝗽𝗹𝗮𝗻𝗮𝗿 graphs)?
Turns out you only need a simple graph transformation called 𝐶𝐴𝑇!
Short talk: https://t.co/6DbWz15Gti
TMLR paper: https://t.co/h6EqaFx9Fc
🌟 GLOW 2025 kicks off with a super session in January!
🎙️ Hear from our amazing speakers Clayton Sanford and @dereklim_lzh.
🗓️ Jan 15th, 17 CET on Zoom.
🌐 Details & sign-up: https://t.co/kaKuULliya
🌟 GLOW is coming back in December with amazing speakers: Emily Jin and @JoshSouthern13!
🗓️ Dec 18th @ 17 CET on Zoom, don't miss that!
🌐 Find more here: https://t.co/Pr5q9FjOZn
We are hosting a Graph Learning Social @icmlconf on Thursday 5:30pm in room Stolz 1! 🔥
Highlights:
* Snacks and drinks provided (thanks to @AstraZeneca) 🍔
* Panel on the future and challenges of graph learning hosted by @Pseudomanifold 💬
* Feel free to bring your poster 🖼️
@miniapeur@LogConference@UCLA Don't be too sad, indeed. The Workshop on Mining and Learning with Graphs (MLG) *does* take place this year at @ECMLPKDD 2024 in Vilnius. 😃
Listen to our amazing keynote speakers Yllka Velaj and @HaggaiMaron and discuss your latest graph ML research. See https://t.co/XxSS5uN6p0