CS224W: Machine Learning with Graphs
Stanford's course on machine learning techniques for graph-structured data, covering node embeddings, graph neural networks, knowledge graphs, and applications such as recommender systems and drug discovery, taught by Jure Leskovec.
Stanford CS224W: Machine Learning with Graphs, taught by Jure Leskovec. The course covers methods for extracting information from and making predictions about large graphs and networks, including node embeddings, graph neural networks, knowledge graph reasoning, and applications to recommender systems, drug discovery, and social network analysis.
This is a curated third-party resource. All credit and citation belongs to Jure Leskovec and Stanford University.