245 citations · 1k across the 17 of their papers we have counts for
9 papers · 1 filter
Network Lasso: Clustering and Optimization in Large Graphs
David Hallac, Jure Leskovec, Stephen Boyd
Convex optimization is an essential tool for modern data analysis, as it provides a framework to formulate and solve many problems in machine learning and data mining. However, gen…
Inferring Networks of Substitutable and Complementary Products
Julian McAuley, Rahul Pandey, Jure Leskovec
In a modern recommender system, it is important to understand how products relate to each other. For example, while a user is looking for mobile phones, it might make sense to reco…
GMine: A System for Scalable, Interactive Graph Visualization and Mining
Jose Rodrigues, Hanghang Tong, Agma Traina +2
Several graph visualization tools exist. However, they are not able to handle large graphs, and/or they do not allow interaction. We are interested on large graphs, with hundreds o…
Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia
Robert West, Ashwin Paranjape, Jure Leskovec
Hyperlinks are an essential feature of the World Wide Web. They are especially important for online encyclopedias such as Wikipedia: an article can often only be understood in the…
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis
Robert West, Hristo S. Paskov, Jure Leskovec +1
Person-to-person evaluations are prevalent in all kinds of discourse and important for establishing reputations, building social bonds, and shaping public opinion. Such evaluations…
Information Diffusion and External Influence in Networks
Seth A. Myers, Chenguang Zhu, Jure Leskovec
Social networks play a fundamental role in the diffusion of information. However, there are two different ways of how information reaches a person in a network. Information reaches…