MSA 8500 - Graph Analytics

3 Credit Hours
Prerequisites: Prerequisites: MSA 8010 or IFI 8410.
Description
This graduate-level course introduces different graph analytics models with a focus on real-world applications and datasets. This course will cover recent methods and algorithms for exploring and analyzing large-scale networks, as well as applications in various domains (e.g., web, social science, business, finance, and health care). Topics include, but are not limited to, network core metrics and algorithms, graph distances, community detection and search on networks, graph embedding and network representation learning, deep learning on graphs, link prediction and analysis, anomaly detection on graphs, graph summarization, epidemics and influence phenomena on graphs, and graph databases. M