Graph ML Research at Twitter with Michael Bronstein – #394

In this AI video ...

Today we’re excited to be joined by return guest Michael Bronstein, Professor at Imperial College London, and Head of Graph Machine Learning at Twitter.

We last spoke with Michael at NeurIPS in 2017 about Geometric Deep Learning. Since then, his research focus has slightly shifted to exploring graph neural networks. In our conversation, we discuss the evolution of the graph machine learning space, contextualizing Michael’s work on geometric deep learning and research on non-euclidean unstructured data. We also talk about his new role at Twitter and some of the research challenges he’s faced, including scalability and working with dynamic graphs. Michael also dives into his work on differential graph modules for graph CNNs, and the various applications of this work.

The complete show notes for this episode can be found at https://twimlai.com/talk/394.

Subscribe:

Apple Podcasts:
https://tinyurl.com/twimlapplepodcast
Spotify:
https://tinyurl.com/twimlspotify
Google Podcasts:
https://podcasts.google.com/?feed=aHR0cHM6Ly90d2ltbGFpLmxpYnN5bi5jb20vcnNz
RSS:
https://twimlai.libsyn.com/rss
Full episodes playlist:

Subscribe to our Youtube Channel:
https://www.youtube.com/channel/UC7kjWIK1H8tfmFlzZO-wHMw?sub_confirmation=1

Podcast website:


Sign up for our newsletter:

Newsletter Sign-Up


Check out our blog:

Blog


Follow us on Twitter:

Follow us on Facebook:
https://facebook.com/twimlai
Follow us on Instagram:
https://instagram.com/twimlai

YouTube Source for this AI Video

AI video(s) you might be interested in …