63 citations · 88 across the 9 of their papers we have counts for
5 papers · 1 filter
Heterogeneous Interventions Reduce the Spread of COVID-19 in Simulations on Real Mobility Data
Haotian Wang, Abhirup Ghosh, Jiaxin Ding +2
Major interventions have been introduced worldwide to slow down the spread of the SARS-CoV-2 virus. Large-scale lockdowns of human movements are effective in reducing the spread, b…
Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent
Lauren Watson, Benedek Rozemberczki, Rik Sarkar
Private machine learning involves addition of noise while training, resulting in lower accuracy. Intuitively, greater stability can imply greater privacy and improve this privacy-u…
Little Ball of Fur: A Python Library for Graph Sampling
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
Sampling graphs is an important task in data mining. In this paper, we describe Little Ball of Fur a Python library that includes more than twenty graph sampling algorithms. Our go…
Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency
Peyman Afshani, Mark De Berg, Kevin Buchin +7
We consider the problem of finding patrol schedules for robots to visit a given set of sites in a metric space. Each robot has the same maximum speed and the goal is to min…
Fast Sequence-Based Embedding with Diffusion Graphs
Benedek Rozemberczki, Rik Sarkar
A graph embedding is a representation of graph vertices in a low-dimensional space, which approximately preserves properties such as distances between nodes. Vertex sequence-based…