Nowadays, many computer and communication systems generate graph data. Graph data
span many different domains, ranging from online social network data from networks like …

Prediction tasks over nodes and edges in networks require careful effort in engineering
features used by learning algorithms. Recent research in the broader field of representation …

Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …

How can we recognise social roles of people, given a completely unlabelled social network?
We may train a role classification algorithm on another dataset, but then that dataset may …

Community detection and role detection in information networks have received wide
attention recently, where the former aims to detect the groups of nodes that are closely …

The ability to detect and analyze interesting subgraph patterns on large and dynamic graph-
structured data in near-real time is crucial for many applications; example includes anomaly …

Users in online social networks often have very different structural positions which may be
attributed to a latent factor: roles. In this paper, we analyze dynamic networks from two …

Matrix factorization is one of the leading techniques for many applications such as social
network‐based recommendation systems. As of today, many parallel stochastic gradient …

Improving Users' Demographic Prediction via the Videos They Talk about Page 1 Proceedings of
the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1359–1368 …

Research on collaborative information retrieval (CIR) has shown positive impacts of
collaboration on retrieval effectiveness in the case of complex and/or exploratory tasks. The …