7 citations · 16 across the 6 of their papers we have counts for
3 papers · 1 filter
Scalable Edge Partitioning
Sebastian Schlag, Christian Schulz, Daniel Seemaier +1
Edge-centric distributed computations have appeared as a recent technique to improve the shortcomings of think-like-a-vertex algorithms on large scale-free networks. In order to in…
Faster Support Vector Machines
Sebastian Schlag, Matthias Schmitt, Christian Schulz
The time complexity of support vector machines (SVMs) prohibits training on huge data sets with millions of data points. Recently, multilevel approaches to train SVMs have been dev…
Network Flow-Based Refinement for Multilevel Hypergraph Partitioning
Tobias Heuer, Peter Sanders, Sebastian Schlag
We present a refinement framework for multilevel hypergraph partitioning that uses max-flow computations on pairs of blocks to improve the solution quality of a -way partition.…