Graph Representation Learning (Stanford university) Published 2019-10-03 Download video MP4 360p Download video MP4 720p Recommendations 1:29:00 Graph Node Embedding Algorithms (Stanford - Fall 2019) 14:28 Graph Neural Networks - a perspective from the ground up 13:56 Graph Convolutional Networks - Oxford Geometric Deep Learning 1:27:17 Learning to learn: An Introduction to Meta Learning 24:38 How Deep Neural Networks Work 15:00 Understanding Graph Attention Networks 1:12:20 Theoretical Foundations of Graph Neural Networks 51:06 Intro to graph neural networks (ML Tech Talks) 59:00 An Introduction to Graph Neural Networks: Models and Applications 23:16 Jure Leskovec | Advancements in Graph Neural Networks 13:21 Graph Convolutional Networks using only NumPy 08:35 Kalman Filter - Part 1 1:22:31 Deep Graph Generative Models (Stanford University - 2019) 1:14:40 Lecture 3 | Loss Functions and Optimization 43:26 Deep learning on graphs: successes, challenges | Graph Neural Networks | Michael Bronstein 1:26:35 Limitations of Graph Neural Networks (Stanford University) 38:27 ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein 11:55 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.1 - Why Graphs 31:39 Graph Embeddings 1:06:19 零基础多图详解图神经网络（GNN/GCN） Similar videos 20:27 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.3 - Choice of Graph Representation 1:14:23 Graph Neural Networks (GNN) using Pytorch Geometric | Stanford University 10:31 Stanford CS224W: ML with Graphs | 2021 | Lecture 6.1 - Introduction to Graph Neural Networks 14:44 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 3.1 - Node Embeddings 37:12 KGC 2022 Keynote: 'Deep Learning with Knowledge Graphs' by Stanford's Prof. Jure Leskovec 35:41 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 6.3 - Deep Learning for Graphs 16:50 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 17.2 - GraphSAGE Neighbor Sampling 13:19 GraphSAGE: Inductive Representation Learning on Large Graphs (Graph ML Research Paper Walkthrough) 59:32 Graph Representation Learning: William L. Hamilton - 2021 McGill AI Learnathon 1:16:18 Stanford CS224W: Machine Learning w/ Graphs I 2023 I Graph Neural Networks 49:48 Jure Leskovec: "Large-scale Graph Representation Learning" 1:17:58 Stanford CS224W: Machine Learning w/ Graphs I 2023 I Geometric Graph Learning, Minkai Xu 27:50 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 8.1 - Graph Augmentation for GNNs 10:20 Representation Learning 1:40:34 NeurIPS 2019 | Graph Representation Learning 3 34:31 Stanford CS224W: ML with Graphs | 2021 | Lecture 10.3 - Knowledge Graph Completion Algorithms 1:07:46 MedAI Session 16: Bootstrapped Self-Supervised Representation Learning in Graphs | Shantanu Thakoor 1:21:26 Stanford CS224W: Machine Learning w/ Graphs I 2023 I Trustworthy Graph AI, Rex Ying More results