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Found 4 papers, 2 papers with code
A clustering-based biased Monte Carlo approach to protein titration curve prediction
In this work, we developed an efficient approach to compute ensemble averages in systems with pairwise-additive energetic interactions between the entities.
Street-level Travel-time Estimation via Aggregated Uber Data
Our proposed methodology uses a graph representation of the road network and combines several techniques such as graph-based routing, trip sampling, graph sparsification, and least-squares optimization to estimate the street-level travel times.
Scaling Submodular Optimization Approaches for Control Applications in Networked Systems
Often times, in many design problems, there is a need to select a small set of informative or representative elements from a large ground set of entities in an optimal fashion.
When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes
In this work we tackle the problem of capturing the statistical dependence of the edge connectivity on the vertex labels and using the same distribution to regenerate property graphs of the same or expanded size in a scalable manner.
Social and Information Networks
