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In this paper, we propose a novel approach based on binary graph partitioning for maximal clique enumeration over graph data.
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There are several commonly used multi-classification methods based on binary classifier, such as OAA (One Against All), OAO (One Against one), and DAG (directed acyclic graph) [27 29].
The elaborate play of structures based on binary oppositions is the subject of La Pensée Sauvage.
Data transmission is based on binary modulation pulse.
Fig. 3 Multiplicative inversion based on binary trees.
Multivariate analyses were based on binary logistic regression.
These simulations were based on binary outcome data.
We present a novel algorithm (GP) for maximal clique enumeration based on iterative binary graph partitioning.
In this paper, we call graphs based on graph theory "network graphs".
Based on the interference graph, a coalitional graph game framework was proposed to model this problem.
Then based on the graph, we develop another radio-based graph, where and.
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