Antimagic labeling is a distinguished branch of graph theory concerned with assigning distinct positive integers to the edges of a finite simple graph so that the sums of labels incident on each ...

What is this book about? Data labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today’s data-driven world, mastering data labeling is not just an ...

Abstract: Class imbalance is a pervasive issue in many realworld datasets, particularly in graph-structured data, where certain classes are significantly underrepresented. This imbalance can severely ...

Abstract: Graph neural network (GNN) have gained extensive adoption in diverse fields, including IoT anomaly detection, social network analysis, and drug molecule prediction, due to their exceptional ...

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