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We name this graph the template graph.
SiS initializes a weighted graph named the template graph that summarizes the input graphs.
SiS takes advantage of the template graph while finding the most probable subgraphs of a user-given size, k.
SiS enumerates the subgraphs of the template graph incrementally, i.e., by extending smaller subgraphs to larger subgraphs.
Each bicluster induces a subgraph from the template graph and then connected components are extracted from this subgraph.
First, a binary matrix, whose rows correspond to edges of the template graph, and columns correspond to the graphs, is constructed.
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To decompose sub-scenes into individual indoor objects, we devise an anchor-guided subgraph matching algorithm which leverages template graphs to partition the graphs into subgraphs (i.e., individual objects), which is capable of handling arbitrarily oriented objects within scenes.
Mapping at template filter graph level will be triggered by a meta-expression when at list two filters are linked in a stream.
The mapping is automatically done at three level of granularity, i.e., at artifact template filter graph, at artifact template filter and internally to the artifact template filter at several variability points, such as attributes and methods when in the sync mode is selected or semi-automatically otherwise.
You can either create a template using graph paper or find a free template online.
At runtime, the application servers use service composition algorithms to create a feasible application by combining libraries of template service graphs in their database.
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