CAS 747 / Machine Learning on Graphs

3 unit(s)

Complex data in the real-world can often be represented as a graph of relationships between objects or entities. This course focuses on the computational, algorithmic and modeling challenges related to the analysis of large scale graphs and networks. Students will be introduced to machine learning techniques and data mining tools that reveal insights on a variety of graphs and networks. Topics include: graph representation learning, graph neural networks, algorithms for complex networks, reasoning over Knowledge Graphs, influence maximization, and social network analysis.