Extracting Hypergraphs from Traffic Networks
Hypergraph datasets are well known in the context of author networks and knowledge graphs.
However, hypergraphs can also be found in other domains, such as traffic networks.
In this work, you should search for existing datasets from this domain and provide tooling
to collect data from public web endpoints.
A second part will deal with characterising different ways of interpreting and
formatting the data as hypergraphs.
Most (if not all) of the programming will be done in Python.
Inquiries: Tobias Hille