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• W2790337029 abstract "While advances in computing resources have made processing enormous amounts of data possible, human ability to identify patterns in such data has not scaled accordingly. Efficient computational methods for condensing and simplifying data are thus becoming vital for extracting actionable insights. In particular, while data summarization techniques have been studied extensively, only recently has summarizing interconnected data, or graphs, become popular. This survey is a structured, comprehensive overview of the state-of-the-art methods for summarizing graph data. We first broach the motivation behind, and the challenges of, graph summarization. We then categorize summarization approaches by the type of graphs taken as input and further organize each category by core methodology. Finally, we discuss applications of summarization on real-world graphs and conclude by describing some open problems in the field." @default.
• W2790337029 created "2018-03-29" @default.
• W2790337029 creator A5015996266 @default.
• W2790337029 creator A5019130511 @default.
• W2790337029 creator A5028636328 @default.
• W2790337029 creator A5044745593 @default.
• W2790337029 date "2016-12-14" @default.
• W2790337029 modified "2023-09-27" @default.
• W2790337029 title "A Graph Summarization: A Survey." @default.
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