Theoretical Foundations of Graph Neural Networks Published 2021-02-22 Download video MP4 360p Recommendations 51:06 Intro to graph neural networks (ML Tech Talks) 1:25:12 Geometric Deep Learning: GNNs Beyond Permutation Equivariance 1:29:00 Graph Node Embedding Algorithms (Stanford - Fall 2019) 23:01 But what is a convolution? 1:32:01 Diffusion and Score-Based Generative Models 18:50 The Tetris World Record Just Got Shattered 1:05:11 GraphCast: Learning skillful medium-range global weather forecasting 38:27 ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein 15:00 Understanding Graph Attention Networks 1:28:00 Learning the Structure of Graph Neural Networks | Mathias Niepert | heidelberg.ai 3:50:57 How Deep Neural Networks Work - Full Course for Beginners 59:00 An Introduction to Graph Neural Networks: Models and Applications 18:40 But what is a neural network? | Chapter 1, Deep learning 1:54:59 Think Graph Neural Networks (GNN) are hard to understand? Try this two part series.. 15:05 Variational Autoencoders 1:02:50 MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention 58:07 Aligning LLMs with Direct Preference Optimization 1:14:23 Graph Neural Networks (GNN) using Pytorch Geometric | Stanford University 1:16:53 Graph Representation Learning (Stanford university) 14:28 Graph Neural Networks - a perspective from the ground up Similar videos 51:16 Foundations of Graph Neural Networks: Part I 29:15 Graph Neural Networks: A gentle introduction 46:11 Stefanie Jegelka: Theory of Graph Neural Networks: Representation and Learning 15:08 Deep learning with dynamic graph neural networks 15:07 How to explain Graph Neural Networks (with XAI) 08:35 The ultimate intro to Graph Neural Networks. Maybe. 08:18 Understanding Graph Neural Networks | Part 1/3 - Introduction 1:27:44 Theory of Graph Neural Networks: Representation and Learning | Derek Lim 10:31 Stanford CS224W: ML with Graphs | 2021 | Lecture 6.1 - Introduction to Graph Neural Networks 11:38 Introduction to graph neural networks (made easy!) 24:28 GraphSAGE to GraphBERT - Theory of Graph Neural Networks 1:37:52 Graph Neural Networks - Lecture 15 - Learning in Life Sciences (Spring 2021) 25:21 Stanford CS224W: ML with Graphs | 2021 | Lecture 9.1 - How Expressive are Graph Neural Networks 1:26:01 Using Graph Neural Networks for Multi-Node Representation Learning | Pan Li More results