Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

In the last few decades, the evolution of sequencing technologies has revolutionized genome analysis, pushing towards the design of scalable computational approaches for the analysis of massive ...