Unlocking Deep Learning for Graphs

Add to your list(s) Download to your calendar using vCal

• Dominique Beaini, Valence Discovery, MILA, Canada
• Tuesday 15 June 2021, 13:15-14:15
• Zoom.

If you have a question about this talk, please contact Mateja Jamnik.

Join us on Zoom

Deep learning has successfully transformed how we tackle different problems, especially in the fields of image/text recognition and generation. However, most methods remained constrained to these grid-like data structures and struggle to translate to more complex geometries such as meshes and graphs. Having powerful deep learning on graphs will unlock an unprecedented number of applications in different fields, such as social networks, road navigation, and drug discovery. In this talk, I will discuss the main challenges of applying deep learning on graphs, why early methods have struggled, and how spectral theory is one of the main keys in unlocking graph deep learning. Specifically, I will discuss some of our recent work including “Directional Graph Networks”, which offers the first generalization of convolutional neural networks to graphs, and “Rethinking Graph Transformers with Spectral Attention”, which offers the first generalization of Transformers to graphs.

BIO:

Dominique is the Head of Graph Research at “Valence Discovery”, a startup located at the Montreal Institute of Learning Algorithms (MILA). Our mission focuses on unlocking deep learning for drug discovery via property prediction, screening, and generation. We currently collaborate with multiple pharmaceutical companies and research laboratories to help them find better drugs, faster, cheaper, and with fewer side effects.

This talk is part of the Artificial Intelligence Research Group Talks (Computer Laboratory) series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Artificial Intelligence Research Group Talks (Computer Laboratory)
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge Forum of Science and Humanities
• Cambridge Language Sciences
• Cambridge talks
• Chris Davis' list
• Department of Computer Science and Technology talks and seminars
• Guy Emerson's list
• Hanchen DaDaDash
• Interested Talks
• School of Technology
• Speech Seminars
• Trust & Technology Initiative - interesting events
• Zoom
• bld31
• ndk22's list
• ob366-ai4er
• rp587
• yk373's list

Note that ex-directory lists are not shown.