Dynamic Graph-based Relational Learning of Temporal Patterns in Biological Networks Changing over Time.

摘要: We propose a dynamic graph-based relational learning approach using graph-rewriting rules to analyze how biological networks change over time. The analysis of is necessary understand life at the systemlevel, because continuously their structures and properties while an organism performs various activities promote reproduction sustain our lives. Most current data mining approaches overlook features networks, they are focused on only static graphs. First, we generate graph, which sequence graphs representing changing Then, discovers graph rewriting rules, show replace subgraphs, between two sequential These describe structural difference graphs, in Temporal patterns discovered metabolic pathways that enables discovery networks. keywords: Graph Mining, Rewriting Rules, Biolog-