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In its official statement, the agency noted, “The National Testing Agency (NTA) is in receipt of various representations from ...
A matrix method is developed to apply four solution concepts to a graph model for conflict resolution in order to model human behavior in a multiple-decision-maker (DM) strategic conflict. A graph ...
The construction of a meaningful graph plays a crucial role in the success of many graph-based representations and algorithms for handling structured data, especially in the emerging field of graph ...
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AZoAI on MSNContrastive Learning Gains with Graph-Based ApproachCLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional ...
PC coefficient matrix can represent the paired similarity relation between brain regions, so as to construct weighted edge connection of brain graphs and establish a multi-scale graph of each subject.
If the graph contains any undirected edges then the adjacency matrix will be a symmetric matrix, but however, if the graph is directed means edge orientation becomes important then it is not ...
To address these aspects, we developed the hierarchical graph representation of pharmacophore models (HGPM). This single graph representation enables an intuitive observation of numerous pharmacophore ...
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