activity
20092026
most citedThe Future is Big Graphs! A Community View on Graph Processing Systems

157 citations · 421 across the 63 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.DS2022★ 2 cited

Finding Near-Optimal Weight Independent Sets at Scale

Ernestine Großmann, Sebastian Lamm, Christian Schulz +1

Computing maximum weight independent sets in graphs is an important NP-hard optimization problem. The problem is particularly difficult to solve in large graphs for which data redu…

cs.DS2022

Scalable Multilevel and Memetic Signed Graph Clustering

Felix Hausberger, Marcelo Fonseca Faraj, Christian Schulz

In this study, we address the complex issue of graph clustering in signed graphs, which are characterized by positive and negative weighted edges representing attraction and repuls…

cs.DS2022★ 7 cited

More Recent Advances in (Hyper)Graph Partitioning

Ümit V. Çatalyürek, Karen D. Devine, Marcelo Fonseca Faraj +8

In recent years, significant advances have been made in the design and evaluation of balanced (hyper)graph partitioning algorithms. We survey trends of the last decade in practical…

cs.SI2022

Local Motif Clustering via (Hyper)Graph Partitioning

Adil Chhabra, Marcelo Fonseca Faraj, Christian Schulz

A widely-used operation on graphs is local clustering, i.e., extracting a well-characterized community around a seed node without the need to process the whole graph. Recently loca…

cs.DS2022

Recursive Multi-Section on the Fly: Shared-Memory Streaming Algorithms for Hierarchical Graph Partitioning and Process Mapping

Marcelo Fonseca Faraj, Christian Schulz

Partitioning a graph into balanced blocks such that few edges run between blocks is a key problem for large-scale distributed processing. A current trend for partitioning huge grap…