127 citations · 252 across the 8 of their papers we have counts for
10 papers
Hybrid Forecasting of Geopolitical Events
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas +26
Sound decision-making relies on accurate prediction for tangible outcomes ranging from military conflict to disease outbreaks. To improve crowdsourced forecasting accuracy, we deve…
TimeGraphs: Graph-based Temporal Reasoning
Paridhi Maheshwari, Hongyu Ren, Yanan Wang +2
Many real-world systems exhibit temporal, dynamic behaviors, which are captured as time series of complex agent interactions. To perform temporal reasoning, current methods primari…
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…
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…
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…
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…
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…
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…
SnapVX: A Network-Based Convex Optimization Solver
David Hallac, Christopher Wong, Steven Diamond +4
SnapVX is a high-performance Python solver for convex optimization problems defined on networks. For these problems, it provides a fast and scalable solution with guaranteed global…
Ringo: Interactive Graph Analytics on Big-Memory Machines
Yonathan Perez, Rok Sosic, Arijit Banerjee +4
We present Ringo, a system for analysis of large graphs. Graphs provide a way to represent and analyze systems of interacting objects (people, proteins, webpages) with edges betwee…