WebApr 6, 2024 · The problem of lossless streaming graph summarization is computationally challenging. On one hand, it is shown to be NP-hard to even summarize a static graph optimally , which means that frequently re-summarizing the graph from the scratch is computationally unaffordable. On the other hand, in a streaming environment, edges … WebMay 12, 2024 · However, prior art of graph stream summarization, like CM sketches, gSketches, TCM and gMatrix, either supports limited kinds of queries or suffers from poor accuracy of query results. In this paper, we propose a novel Graph Stream Sketch (GSS for short) to summarize the graph streams, which has linear space cost O( E ) (E is the …
A parameter-free approach to lossless summarization of fully dynamic graphs
WebRecently, graph stream summarization techniques have attracted much attention in providing approximate storage and query processing for a graph stream. Existing … WebHorae is a graph stream summarization structure for efficient temporal range queries. Horae can deal with temporal queries with arbitrary and elastic range while guaranteeing … grand coulee washington history
Graph Stream Summarization Proceedings of the 2016 …
WebDynamic graphs [41,42,46] Stream graphs [22,45,54] with many highly overlapping components could be less intuitive and more complicated than their non-overlapping counterparts. Summary for Different Graph Categories. The goal of homoge-neous graphs summarization is to summarize the topology informa-tion. WebJun 22, 2024 · An improved data stream summary: The count-min sketch and its applications. J. Algor. 55, 1 (2005), 58--75. Google Scholar ... Nan Tang, Qing Chen, and Prasenjit Mitra. 2016. Graph stream summarization: From big bang to big crunch. In Proceedings of the 2016 International Conference on Management of Data. ACM, 1481- … WebSep 4, 2024 · Fast and Accurate Graph Stream Summarization. A graph stream is a continuous sequence of data items, in which each item indicates an edge, including its … chinese buffet boston ma