JuliaCon 2020 (times are in UTC)

Mathieu Besançon

Mathieu is a PhD candidate in a double program between Polytechnique Montreal & INRIA Lille. His research focuses on mathematical optimization models and applications for power grids. Outside research, he also works on open-source projects around mathematical optimization, graphs and statistics.


Sessions

07-24
14:00
210min
Building and analyzing graphs at scale with LightGraphs
James Fairbanks, Mathieu Besançon, Simon Schoelly

From logistics to bioinformatics or web analytics, graphs are versatile abstractions for modelling problems and solving them with specialized efficient algorithms. But with different problems comes the need for different representations. This workshop aims at giving a hands-on tour to the JuliaGraphs libraries, letting the participants build, analyze and visualize graphs for different applications. Join via Zoom: link in email from Eventbrite. Backup Youtube link: https://youtu.be/K3z0kUOBy2Y.

Green Track
07-31
15:20
30min
Lessons learned on trait-based descriptions of graphs
Mathieu Besançon

LightGraphs has been structured around a graph interface, which is used by algorithms without assuming anything on the underlying data structure. Few months ago, we realized it was implicitly assumed in some places that the graph vertices are contiguous integers starting from one. Making this assumption explicit for each graph type allows users to describe more properties of their types, and to indicate in the signature of algorithms whether this assumption is necessary.

Red Track