JuliaCon 2020 (times are in UTC)

Lessons learned on trait-based descriptions of graphs
07-31, 15:20–15:50 (UTC), Red Track

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.


The talk will cover the definition of interfaces for a Julia ecosystem and advantage of a trait-based approach, these two topics being of interest not only for graphs, but for other packages defining a common interface to reason on.

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.

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