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"Machine Learning for Graph Algorithms and Representations"
PhD Thesis Proposal: Allison Mann
Feb
28
Wednesday
8:00am - 10:00am ET
Rm 102, Cummings Hall/Online
Optional ZOOM LINK
"Machine Learning for Graph Algorithms and Representations"
Abstract
This thesis will provide a survey of common graph theoretic problems from a machine learning perspective. The topics covered include fundamental network problems such as distance approximation, distance sensitivity, community detection, cross-network alignment, and graph embedding dimension reduction. These projects are unified by the theme of machine learning on graphs, graph embeddings, and representations of graphs.
Thesis Committee
- Peter Chin (chair)
- Wayne Snyder (from BU)
- Colin Meyer
- Vikrant Vaze
Contact
For more information, contact Thayer Registrar at thayer.registrar@dartmouth.edu.