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Contrastive learning has been widely used in graph representation learning, which extracts node or graph representations by contrasting positive and negative node pairs. It requires node ...
The finding: Many people feel disconnected from the individuals they’ll be in the future and, as a result, discount rewards that would later benefit them. But brief exposure to aged images of ...
In this paper, a graph-theory-based approach for representing planar mechanisms is presented, the Santiago Portilla method (SPM). From the corresponding adjacency matrix, SPM generates an extended ...
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