Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.2 - Applications of Graph ML

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: Jure Leskovec Computer Science, PhD Graph machine learning can be applied in many scenarios, including the tasks of node classification, link prediction, graph classification, etc. Machine Learning at different levels of graphs usually demonstrate powerful capability in many specific tasks in different fields, ranging from protein folding, drug discovery, to recommender system, traffic prediction, among various other tasks. To follow along with the course schedule and syllabus, visit: