activity
20162019
most citedSANA: Simulated Annealing Network Alignment Applied to Biological Networks

5 citations · 5 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CG2019

Euclidean TSP, Motorcycle Graphs, and Other New Applications of Nearest-Neighbor Chains

Nil Mamano, Alon Efrat, David Eppstein +5

We show new applications of the nearest-neighbor chain algorithm, a technique that originated in agglomerative hierarchical clustering. We apply it to a diverse class of geometric…

cs.CG2018

Stable-Matching Voronoi Diagrams: Combinatorial Complexity and Algorithms

Gill Barequet, David Eppstein, Michael T. Goodrich +1

We study algorithms and combinatorial complexity bounds for \emph{stable-matching Voronoi diagrams}, where a set, , of point sites in the plane determines a stable matching…

cs.DS2018

Reactive Proximity Data Structures for Graphs

David Eppstein, Michael T. Goodrich, Nil Mamano

We consider data structures for graphs where we maintain a subset of the nodes called sites, and allow proximity queries, such as asking for the closest site to a query node, and u…

cs.DS2017

Defining Equitable Geographic Districts in Road Networks via Stable Matching

David Eppstein, Michael Goodrich, Doruk Korkmaz +1

We introduce a novel method for defining geographic districts in road networks using stable matching. In this approach, each geographic district is defined in terms of a center, wh…

q-bio.MN20165 cited

SANA: Simulated Annealing Network Alignment Applied to Biological Networks

Nil Mamano, Wayne Hayes

The alignment of biological networks has the potential to teach us as much about biology and disease as has sequence alignment. Sequence alignment can be optimally solved in polyno…

cs.MM2016

Models and Algorithms for Graph Watermarking

David Eppstein, Michael T. Goodrich, Jenny Lam +3

We introduce models and algorithmic foundations for graph watermarking. Our frameworks include security definitions and proofs, as well as characterizations when graph watermarking…