# Graph Mining

## CSCI-6280

This class is an introduction to graph processing and mining. Students will learn about research and analytical challenges related to the study of real-world graphs. Course topics may include, but are not limited to: general graph processing techniques, connectivity and centrality algorithms, recommender systems, link prediction, community detection, subgraph mining, graph neural networks, random graph models, random walks, and the interplay between graphs and linear algebra. Course activities include programming assignments, paper presentations, and a semester-long project involving a proposal presentation, update presentation, and final presentation and writeup.

4 credits
Cross-listed with:
CSCI-4280 Graph Mining
Prereqs:
none

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
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| Spring | Summer | Fall
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| (Session 1) | (Session 2) |

2026

Graph Mining (4c)

- George M. Slota

Seats Taken: 6/6

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2005

Mobile Robotics (3c)

- Wesley H. Huang

Seats Taken: 15/30

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2002

Mobile Robotics (3c)

- Wesley H. Huang

Seats Taken: 3/10

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