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- W2948976413 abstract "Computing a graph prototype may constitute a core element for clustering or classification tasks. However, its computation is an NP-Hard problem, even for simple classes of graphs. In this paper, we propose an efficient approach based on block coordinate descent to compute a generalized median graph from a set of graphs. This approach relies on a clear definition of the optimization process and handles labeling on both edges and nodes. This iterative process optimizes the edit operations to perform on a graph alternatively on nodes and edges. Several experiments on different datasets show the efficiency of our approach." @default.
- W2948976413 created "2019-06-14" @default.
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- W2948976413 date "2019-06-19" @default.
- W2948976413 modified "2023-10-15" @default.
- W2948976413 title "Generalized Median Graph via Iterative Alternate Minimizations" @default.
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