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- W3029172955 abstract "Large networks with labeled nodes are prevalent in various applications, such as biological graphs, social networks, and e-commerce graphs. To extract insight from this rich information source, we propose MC-Explorer, which is an advanced analysis and visualization system. A highlight of MC-Explorer is its ability to discover motif-cliques from a graph with labeled nodes. A motif, such as a 3-node triangle, is a fundamental building block of a graph. A motif-clique is a complete subgraph in a network with respect to a desired higher-order connection pattern. For example, on a large biological graph, we found out some motif-cliques, which disclose new side effects of a drug, and potential drugs for healing diseases. MC-Explorer includes online and interactive facilities for exploring a large labeled network through the use of motif-cliques. We will demonstrate how MC-Explorer can facilitate the analysis and visualization of a labeled biological network.An online demo video of MC-Explorer can be accessed from https://www.dropbox.com/s/vkalumc28wqp8yl/demo.mov." @default.
- W3029172955 created "2020-06-05" @default.
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- W3029172955 date "2020-04-01" @default.
- W3029172955 modified "2023-09-29" @default.
- W3029172955 title "MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks" @default.
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- W3029172955 doi "https://doi.org/10.1109/icde48307.2020.00154" @default.
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