Deep Learning for Graph Isomorphism (PhD scholarships available)
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Supervisor
Description
Graph isomorphism is a fundamental concept for exploiting
the structure of graphs. This project aims to develop new
heuristic techniques and theories for graph isomorphism,
advancing state-of-the-art methodologies for its
applications in solving real-world problems. Inspired by
recent advances in machine learning, this project will
investigate graph isomorphism problems from a deep
learning perspective by marrying the best approaches
from classic graph isomorphism studies with new techniques
from modern AI. This is an important step towards bridging
the gap between combinatorical generalization and
deep learning.
PhD scholarships are available for this project. If you're interested, please go to our Graph Research Lab (https://graphlabanu.github.io/website/) for further information.
Keywords
deep learning, graph