Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.2 – Purposes of Graph ML

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Jure Leskovec
Laptop Science, PhD

Graph machine learning can be applied in several eventualities, which includes the responsibilities of node classification, url prediction, graph classification, and so on. Machine Learning at distinct stages of graphs usually display strong functionality in numerous specific jobs in diverse fields, ranging from protein folding, drug discovery, to recommender method, targeted traffic prediction, among the a variety of other tasks.

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