Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 1.1 – Why Graphs

For much more information and facts about Stanford’s Artificial Intelligence professional and graduate courses, go to: https://stanford.io/3Bu1w3n Jure Leskovec Computer Science, PhD Graphs are a general language for describing and analyzing entities with relations/interactions. There are several varieties of networks and graphs, such as social networks, communication and transaction networks, biomedine networks, brain networks, and […]

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

For a lot more information about Stanford’s Artificial Intelligence experienced and graduate programs, stop by: https://stanford.io/2XQKRsU 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 […]