Theoretical Foundations of Graph Neural Networks Share: Download MP3 Similar Tracks An Introduction to Graph Neural Networks: Models and Applications Microsoft Research Intro to graph neural networks (ML Tech Talks) TensorFlow Everything is Connected: Deep Learning on Graphs Petar Veličković MIT 6.S191: Convolutional Neural Networks Alexander Amini Into the Realm Categorical Petar Veličković LLMs as Graph Neural Networks | Petar Veličković @ GLOW GLOW Geometric Deep Learning: GNNs Beyond Permutation Equivariance Petar Veličković S2025 Lecture 27 - Graph Neural Networks Carnegie Mellon University Deep Learning Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! StatQuest with Josh Starmer Algorithmic Reasoning, Graph Neural Nets, AGI and Tips to researchers | Petar Veličković Jay Shah MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention Alexander Amini Graph Representation Learning (Stanford university) Machine Learning TV Graph Neural Networks in Computational Biology: A Personal Perspective - Petar Veličković Imperial College Computational Biology Society ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein Michael Bronstein MIT Introduction to Deep Learning | 6.S191 Alexander Amini Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Valence Labs 11. Introduction to Machine Learning MIT OpenCourseWare Graph Neural Networks: A gentle introduction Aladdin Persson Graph Neural Networks - a perspective from the ground up Alex Foo Deep learning on graphs: successes, challenges | Graph Neural Networks | Michael Bronstein SAIConference