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Computing Steiner Trees using Graph Neural Networks
Graph neural networks have been successful in many learning problems and real-world applications.
Epidemics from the Eye of the Pathogen
While a common trend in disease modeling is to develop models of increasing complexity, it was recently pointed out that outbreaks appear remarkably simple when viewed in the incidence vs. cumulative cases (ICC) plane.
Multi-level Weighted Additive Spanners
In this paper, we consider a multi-level version of the subsetwise spanner in weighted graphs, where the vertices in $S$ possess varying level, priority, or quality of service (QoS) requirements, and the goal is to compute a nested sequence of spanners with the minimum number of total edges.
Discrete Mathematics
