People prescribed GLP-1 medications are more likely to start-and-stop than most people assume, according to a study being presented Sunday at ENDO 2026, the Endocrine Society's annual meeting in ...

Abstract: This paper proposes a subgraph-aware classification framework that integrates efficient frequent subgraph mining with graph neural networks (GNNs) to address the limitations of existing GNNs ...

HUANGSHAN, China — As temperatures neared their midday peak, Hu Xiaosong was doing his regular patrol, at an altitude of more than 5,500 feet, to protect a 1,000-year-old pine tree that he says is ...

Abstract: Frequent pattern mining is the process of extracting interesting and recurring patterns within a dataset that occur frequently. In this paper, an attempt is made to develop an algorithm for ...