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

collaborators
Showing 2017Show all

12 papers · 1 filter

cs.DS2017

High-Quality Shared-Memory Graph Partitioning

Yaroslav Akhremtsev, Peter Sanders, Christian Schulz

Partitioning graphs into blocks of roughly equal size such that few edges run between blocks is a frequently needed operation in processing graphs. Recently, size, variety, and str…

cs.DC2017

Communication-free Massively Distributed Graph Generation

Daniel Funke, Sebastian Lamm, Ulrich Meyer +5

Analyzing massive complex networks yields promising insights about our everyday lives. Building scalable algorithms to do so is a challenging task that requires a careful analysis…

cs.DS2017

Memetic Multilevel Hypergraph Partitioning

Robin Andre, Sebastian Schlag, Christian Schulz

Hypergraph partitioning has a wide range of important applications such as VLSI design or scientific computing. With focus on solution quality, we develop the first multilevel meme…

cs.DS2017★ 3 cited

Evolutionary Acyclic Graph Partitioning

Orlando Moreira, Merten Popp, Christian Schulz

Directed graphs are widely used to model data flow and execution dependencies in streaming applications. This enables the utilization of graph partitioning algorithms for the probl…

cs.DS2017★ 26 cited

Practical Minimum Cut Algorithms

Monika Henzinger, Alexander Noe, Christian Schulz +1

The minimum cut problem for an undirected edge-weighted graph asks us to divide its set of nodes into two blocks while minimizing the weight sum of the cut edges. Here, we introduc…

cs.DS2017

Scalable Kernelization for Maximum Independent Sets

Demian Hespe, Christian Schulz, Darren Strash

The most efficient algorithms for finding maximum independent sets in both theory and practice use reduction rules to obtain a much smaller problem instance called a kernel. The ke…