#753 overall
CS224W: Machine Learning with Graphs
Stanford University
1 recommender · 1 thread · recommended in 1 year, 2022 · score 0.7
Stanford's graduate course on machine learning over graph-structured data, covering node embeddings, graph neural networks, and their applications. Lecture videos and materials are published on the course site.
Commenters point to it as one of two good graph neural network courses, valued for its focus on ML applied to structured data.
Machine Learning & AIadvancedfreevideo lectures#graph neural networks#graph ml#node embeddings#stanford
Recommendations by year
20062026
Graph Neural Networks are an interesting approach to ML on structured data. Two GNN courses I recommend are:
Stanford CS224W, https://web.stanford.edu/class/cs224w/ Zak Jost's Intro To GNNs, https://www.graphneuralnets.com/