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The subgraph isomorphism problem involves deciding if there exists a copy of a pattern graph in a target graph.
The advection direction in each pattern graph is set from up to down.
Now, the initial problem is converted into the problem of finding matches in the system graph for the pattern graph.
The initial conditions are given by (25a)–(25b) and are exactly the same for each pattern graph.
Specifically, a pattern match query searches over a GDB to look for the existence of a pattern graph in a GDB.
The CT patterns present in students' artifacts are compared against desired CT patterns for the artifacts and represented in terms of what is known as the Computational Thinking Pattern graph.
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Fig. 2 Pattern graphs of procedures in three groups.
XRD pattern graphs for Cloisite 30B and nanocomposite masterbatch are shown in Figs. 1 and 2, respectively.
(A) Expression pattern graphs of genes within the 4 major sub-clusters derived from hierarchical clustering of diurnally cycling genes (Additional file 3: Figure S1A) that mapped to RiceCyc metabolic pathways.
Upload pattern graphs are heat maps comparing upload dates with encounter dates (an example figure is given below for three sites).
Several visualization tools were developed to assist in analyzing and characterizing data quality patterns for each site: upload pattern graphs (Fig. 1), stacked lag histograms and arrays of lagged time series graphs.
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