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Network querying algorithms provide computational means to identify conserved network modules in large-scale biological networks that are similar to known functional modules, such as pathways or molecular complexes. Two main challenges for network querying algorithms are the high computational complexity of detecting potential isomorphism between the query and the target graphs and ensuring the biological significance of the query results.
(Jeong and Yoon, 2017) SEQUOIA: significance enhanced network querying through context-sensitive random walk and minimization of network conductance. BMC Syst Biol.