2016
NeurIPS
NeurIPS 2016
The Product Cut
Abstract
We introduce a theoretical and algorithmic framework for multi-way graph partitioning that relies on a multiplicative cut-based objective. We refer to this objective as the Product Cut. We provide a detailed investigation of the mathematical properties of this objective and an effective algorithm for its optimization. The proposed model has strong mathematical underpinnings, and the corresponding algorithm achieves state-of-the-art performance on benchmark data sets.
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Interdisciplinary Bridge
- Artificial Intelligence and Computer Science and Mathematics & Optimization
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Keyword Pioneer
- state-of-the-art performance
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Hot Topic Early Bird
- benchmark dataset