23 citations · 72 across the 13 of their papers we have counts for
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cs.LG2020
Massively Parallel Graph Drawing and Representation Learning
Christian Böhm, Claudia Plant
To fully exploit the performance potential of modern multi-core processors, machine learning and data mining algorithms for big data must be parallelized in multiple ways. Today's…
cs.LG2020★ 4 cited
Incorporating User's Preference into Attributed Graph Clustering
Wei Ye, Dominik Mautz, Christian Boehm +2
Graph clustering has been studied extensively on both plain graphs and attributed graphs. However, all these methods need to partition the whole graph to find cluster structures. S…