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Machine Learning with Graphs
- To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs224w/
Abstract
Graphs are a general language for describing and analyzing entities with relations/interactions. There are many types of networks and graphs, such as social networks, communication and transaction networks, biomedine networks, brain networks, etc. In this course, we will take advantage of relational structure for better prediction.