Stanford CS224W: ML with Graphs | 2021 | Lecture 10.1-Heterogeneous & Knowledge Graph Embedding Published 2021-05-12 Download video MP4 360p Recommendations 07:16 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 10.2 - Knowledge Graph Completion 34:31 Stanford CS224W: ML with Graphs | 2021 | Lecture 10.3 - Knowledge Graph Completion Algorithms 1:03:44 Unleashing the Synergy of LLMs and Knowledge Graphs 31:39 Graph Embeddings 1:18:47 Stanford CS224W: Machine Learning w/ Graphs I 2023 I GNNs for Recommender Systems 12:05 Knowledge Graphs - Computerphile 52:28 Mathematics Gives You Wings 1:01:29 Fraud Detection with Graph Features and GNN - Nikita Iserson 35:41 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 6.3 - Deep Learning for Graphs 05:36 What is a Knowledge Graph? 31:52 Stanford CS224W: ML with Graphs | 2021 | Lecture 9.2 - Designing the Most Powerful GNNs 1:18:17 Lecture 2 | Word Vector Representations: word2vec 29:24 Uniting Large Language Models and Knowledge Graphs for Enhanced Knowledge Representation 1:16:53 Graph Representation Learning (Stanford university) 59:00 An Introduction to Graph Neural Networks: Models and Applications 52:07 Lecture 1 | The Fourier Transforms and its Applications Similar videos 11:55 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.1 - Why Graphs 16:53 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 11.1 - Reasoning in Knowledge Graphs 25:21 Stanford CS224W: ML with Graphs | 2021 | Lecture 9.1 - How Expressive are Graph Neural Networks 14:44 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 3.1 - Node Embeddings 10:31 Stanford CS224W: ML with Graphs | 2021 | Lecture 6.1 - Introduction to Graph Neural Networks 20:27 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.2 - Applications of Graph ML 16:50 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 17.2 - GraphSAGE Neighbor Sampling 20:27 Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.3 - Choice of Graph Representation​ 29:20 Stanford CS224W: ML with Graphs | 2021 | Lecture 5.2 - Relational and Iterative Classification 14:51 Stanford CS224W: ML with Graphs | 2021 | Lecture 17.1 - Scaling up Graph Neural Networks 16:47 Stanford CS224W: ML with Graphs | 2021 | Lecture 2.2 - Traditional Feature-based Methods: Link 12:17 4.10 - Knowledge Graph Embeddings More results