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One can identify a graph G with the pair ( V ( G ), E ( G ) ).
The basic idea is to represent relational graph data using a sequence of symbols that can uniquely identify a graph.
For each treatment (see Table 1) and for each group of lipids we now design a correlation network as described in the previous section, and identify a graph clustering.
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These quantities can be efficiently computed using fast algorithms for partitioning a graph into its communities and for identifying a graph's kmax-shell [39].
Once the ROI is identified, a graph model is then formulated, where each node denotes one superpixel in the ROI and each edge denotes the adjacency of superpixels.
The probability adjoint matrix can be used to uniquely identify a probability graph, but a different arrangement of the nodes in probability graph may correspond to k ! probabilistic adjoint matrix.
On the other hand, the probability adjoint matrix can be used to uniquely identify a probability graph, but a different arrangement of the nodes in the probability graph may correspond to multiple probabilistic adjoint matrixes, resulting in high computational complexity to find the probability graph isomorphism.
However, as outlined in [ 16], a key issue of these approaches is the need to identify a cut of the graph in order to minimize the communication overhead among machines and their synchronization activities.
In an attack graph, 'nodes identify a state of an attack, [and] edges represent actions taken by the offender or his victim/unwilling assistant.
Most of the students employed the identified similarities and differences among different categories in order to identify a significant pattern in the graph.
The basic operation of this algorithm is to identify a module on the weighted graph by expanding a kernel node set, which originates from a given 'seed' node used as starting-point.
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