Some personal news: I will be joining @CompSciOxford@UniofOxford as @DeepMind chair in #AI and Fellow at @ExeterCollegeOx I owe this honour to the amazing students and collaborators with whom I have had the privilege to work during my career
I would like to thank the HoD Leslie Goldberg and former HoD @wooldridgemike for their support and patience that allowed this appointment to happen
I will remain the Head of GraphML at Twitter and will keep an honorary affiliation at Imperial where I have many amazing colleagues and exciting collaborations
I will be looking for new PhD students at @UniofOxford to work on geometric deep learning, GNNs, proteins, drug design, and sperm whale communication @ProjectCETI
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Over-squashing is a common plight of GNNs occurring when message passing fails to propagate information efficiently on the graph. In a new post, we discuss how this phenomenon can be understood and remedied through the concept of Ricci curvature
After a hiatus, a new series of blogs posts. Do differential geometry and algebraic topology sound too exotic for ML? In recent works, we show that tools from these fields bring a new perspective on graph neural networks
This geometric view on deep learning is the convergence of many old and recent research threads and joint work with @joanbruna@PetarV_93 and @TacoCohen
It was a new and rewarding experience, from which I learned a lot. I was surprised that such a technical topic would attract >200K views and >6K claps in less than half a year.