Abstract: The key node identification method based on graph neural network (GNN) is a new network analysis technology, which aims to identify the key nodes in complex networks by deep learning means.

1 Department of Cell Therapy and Applied Genomics, King Hussein Cancer Center, Amman, Jordan 2 Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada Suffix trees ...

When dedication meets disaster! Join us as we count down the actors who went to extreme lengths for roles that definitely weren't worth it. From acid trips to fruitarian diets, these performers ...

Using linked color imaging during colonoscopy is more effective than traditional procedures at identifying growths that can turn into cancer. Both linked color imaging and traditional colonoscopies ...

With artificial intelligence progressing at a rate that can generously be described as unprecedented, many students considering college are wondering what a traditional degree may have to offer in ...

Abstract: Currently, the field of rotating machinery fault diagnosis still faces the following problems: the inability to simultaneously focus on the performance patterns of fault features at ...

Accurate detection of sugarcane nodes in natural environments is crucial for realizing intelligent sugarcane cutting and precise planting localization. However, current sugarcane node detection models ...

The C code implements a queue data structure using a singly linked list. It allows users to enqueue elements to the rear of the queue, dequeue elements from the front ...

Collection of custom, most common data structures such as singly linked list, doubly linked list, stack,queue,hash table,graph ...