I'm a third year Ph.D. student in Information Engineering at the University of Padova, supervised by Professor Fabio Vandin.
I have a broad interest in Deep Learning, with a current focus on techniques for structured data (geometric Deep Learning), and in particular Graph Neural Networks and Graph Representation Learning.
I hold a Bachelor's degree in Information Engineering and a Master's degree in Computer Engineering, both from the University of Padova. You check out my CV here.
I am currently a Research Scientist Intern at Meta AI in London. During my PhD I have been a visiting student in Professor Pietro Liò's group at the University of Cambridge, a visiting research in Dr. Bastian Rieck's group at Helmholtz Munich, and I've been an intern at Samsung AI Research (Cambridge).
| 09/2022 | Our paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks" has been accepted for publication at NeurIPS 2022! |
| 09/2022 | I am starting as a Research Scientist Intern at Meta AI in London! |
| 08/2022 | I have been awarded a Helmholtz Visiting Researcher Grant by HIDA. I will then visit Dr. Bastian Rieck at Helmholtz Munich to collaborate on exciting projects at the intersection of GNNs and topology! |
| 07/2022 | I have given a talk at the University of Cambridge about Graph Neural Networks and the problem of size-generalization. Check out the recording here. |
| 04/2022 | Our paper "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach" has been accepted as oral at IJCNN 2022! |
| 04/2022 | I am joining the lab of Professor Pietro Liò at the University of Cambridge for a research visit until July 2022. |
You can send me an email at davide.buffelli [at] unipd.it, and you can find me on Google Scholar, ORCID, LinkedIn, GitHub, and Twitter.