PhD Thesis Proposal: Allison Mann

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.