activity
20152020
most citedSNAP: A General Purpose Network Analysis and Graph Mining Library

127 citations · 163 across the 3 of their papers we have counts for

collaborators

7 papers

cs.SI20203 cited

F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams

Yen-Yu Chang, Pan Li, Rok Sosic +3

Edge streams are commonly used to capture interactions in dynamic networks, such as email, social, or computer networks. The problem of detecting anomalies or rare events in edge s…

cs.LG2018

MASA: Motif-Aware State Assignment in Noisy Time Series Data

Saachi Jain, David Hallac, Rok Sosic +1

Complex systems, such as airplanes, cars, or financial markets, produce multivariate time series data consisting of a large number of system measurements over a period of time. Suc…

cs.LG2018

Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data

David Hallac, Suvrat Bhooshan, Michael Chen +3

With automobiles becoming increasingly reliant on sensors to perform various driving tasks, it is important to encode the relevant CAN bus sensor data in a way that captures the ge…

cs.SI2018

Prioritizing network communities

Marinka Zitnik, Rok Sosic, Jure Leskovec

Uncovering modular structure in networks is fundamental for systems in biology, physics, and engineering. Community detection identifies candidate modules as hypotheses, which then…

cs.HC2017

Driver Identification Using Automobile Sensor Data from a Single Turn

David Hallac, Abhijit Sharang, Rainer Stahlmann +5

As automotive electronics continue to advance, cars are becoming more and more reliant on sensors to perform everyday driving operations. These sensors are omnipresent and help the…

cs.SI2016127 cited

SNAP: A General Purpose Network Analysis and Graph Mining Library

Jure Leskovec, Rok Sosic

Large networks are becoming a widely used abstraction for studying complex systems in a broad set of disciplines, ranging from social network analysis to molecular biology and neur…