Videos

We will talk about the online influence maximization problem in social networks under the independent cascade model. Specifically, we aim to learn the set of [...]

In this talk we introduce a novel information propagation method in Twitter, while maintaining a low computational complexity. The proposed method first employs Joint Complexity, [...]

Social media contain information shared by hundreds of millions of users across the world and provide one of the richest dataset created by human activity. [...]

Hierarchical clustering is a recursive partitioning of a dataset into clusters at an increasingly finer granularity. Motivated by the fact that most work on hierarchical [...]

The problem of predicting connections between a set of data points finds many applications, in systems biology and social network analysis among others. We focus [...]

In this talk, I will present recent works on large-scale similarity search, and show that it is possible to build a graph connecting up to [...]

Clustering is a central problem in machine learning for which graph-based approaches have proven their efficiency. In this paper, we study a relaxation of the [...]

In this talk, I will present a collection of results focusing on the presence of inhomogeneities in networks: from the detection of dense clusters (community [...]

Recent results have characterized the exact information-theoretic threshold for graph matching in correlated Erd?s-Rényi graphs. However, very little is known about the existence of efficient [...]