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arXiv · 2110.02048

Graph Coloring: Comparing Cluster Graphs to Factor Graphs

Simon Streicher·Johan du Preez
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Abstract

We present a means of formulating and solving graph coloring problems with probabilistic graphical models. In contrast to the prevalent literature that uses factor graphs for this purpose, we instead approach it from a cluster graph perspective. Since there seems to be a lack of algorithms to automatically construct valid cluster graphs, we provide such an algorithm (termed LTRIP). Our experiments indicate a significant advantage for preferring cluster graphs over factor graphs, both in terms of accuracy as well as computational efficiency.

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Simon Streicher, Johan du Preez. 2021-10-05. Graph Coloring: Comparing Cluster Graphs to Factor Graphs. https://doi.org/10.1145/3132711.3132717

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