activity
20162023
most citedRecent Developments in Boolean Matrix Factorization

6 citations · 18 across the 14 of their papers we have counts for

collaborators

17 papers

cs.LG2023

Visualizing Overlapping Biclusterings and Boolean Matrix Factorizations

Thibault Marette, Pauli Miettinen, Stefan Neumann

Finding (bi-)clusters in bipartite graphs is a popular data analysis approach. Analysts typically want to visualize the clusters, which is simple as long as the clusters are disjoi…

cs.SI2023

Reducing Exposure to Harmful Content via Graph Rewiring

Corinna Coupette, Stefan Neumann, Aristides Gionis

Most media content consumed today is provided by digital platforms that aggregate input from diverse sources, where access to information is mediated by recommendation algorithms.…

cs.SI2023

Adversaries with Limited Information in the Friedkin--Johnsen Model

Sijing Tu, Stefan Neumann, Aristides Gionis

In recent years, online social networks have been the target of adversaries who seek to introduce discord into societies, to undermine democracies and to destabilize communities. O…

cs.DS2023

Dynamic Maintenance of Monotone Dynamic Programs and Applications

Monika Henzinger, Stefan Neumann, Harald Räcke +1

Dynamic programming (DP) is one of the fundamental paradigms in algorithm design. However, many DP algorithms have to fill in large DP tables, represented by two-dimensional arrays…

cs.DS2022

Sublinear-Time Clustering Oracle for Signed Graphs

Stefan Neumann, Pan Peng

Social networks are often modeled using signed graphs, where vertices correspond to users and edges have a sign that indicates whether an interaction between users was positive or…

cs.LG2020★ 1 cited

Biclustering and Boolean Matrix Factorization in Data Streams

Stefan Neumann, Pauli Miettinen

We study the clustering of bipartite graphs and Boolean matrix factorization in data streams. We consider a streaming setting in which the vertices from the left side of the graph…