Lec 05. Architectures: Graphs

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MIT 6.7960 Deep Learning, Fall 2024 Instructor: Phillip Isola View the complete course: https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63URZnh5iqBzDTDYPUTQT-8 This lecture covers graph neural networks (GNNs), showing connections to MLPs and CNNs and message passing algorithms. We will also discuss theoretical limitations on the expressive power of GNNs, and the practical implications of this. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu Support OCW at http://ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

Published 2026-02-11 · Watch on YouTube ↗
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