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Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

Networks and graphs not only appear in many high-impact application domains, but also have become an indispensable ingredient in a variety of data mining and machine learning problems. In this course, we will introduce a number of advanced topics in network mining, including network ranking, community detection, anomaly detection, network connectivity optimization, network embedding, multi-network mining, etc.