This is a summary of my active projects.
You can find a complete list of publications here (including links to code) and a summary of my academic activity here.
Graph Neural Networks.
My core research is on graph neural networks and their applications. I have published several papers that introduced state-of-the-art methods for graph representation learning and graph pooling.
I have recently joined EPFL to work on geometric deep learning methods for protein design. Stay tuned for a lot of exciting and impactful research!
Spektral is an open-source Python library that provides a simple but flexible framework for creating graph neural networks in TensorFlow and Keras.
I recently released version 1.0 of the library, which brings several new features and improvements.
I am always looking for new and exciting research ideas, so get in touch with me if you want to work together.
A list of open projects for students is available here.