Subgraph Counting: Color Coding beyond Trees
Venkatesan T. Chakaravarthy, Michael Kapralov, et al.
IPDPS 2016
We consider the problem of maintaining a maximal independent set in a dynamic graph subject to edge insertions and deletions. Recently, Assadi et al. (at STOC'18) showed that a maximal independent set can be maintained in sublinear (in the dynamically changing number of edges) amortized update time. In this article, we significantly improve the update time for uniformly sparse graphs. Specifically, for graphs with arboricity α, the amortized update time of our algorithm is O(α2 ⋅ log2 n), where n is the number of vertices. For low arboricity graphs, which include, for example, minor-free graphs and some classes of "real-world" graphs, our update time is polylogarithmic. Our update time improves the result of Assadi et al. for all graphs with arboricity bounded by m3/8-ϵ, for any constant ϵ > 0. This covers much of the range of possible values for arboricity, as the arboricity of a general graph cannot exceed m1/2.
Venkatesan T. Chakaravarthy, Michael Kapralov, et al.
IPDPS 2016
Amotz Bar-Noy, Randeep Bhatia, et al.
Mathematics of Operations Research
Alexandr Andoni, Aleksandar Nikolov, et al.
STOC 2014
Alok Aggarwal, Don Coppersmith, et al.
SIAM Journal on Computing