By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

We compare the proposed algorithm with other state-of-the-art graph matching algorithms based on a single-layer structure using synthetic and real data sets and demonstrate the superior performance of ...

o3, an artificial intelligence (AI) model developed by the creators of ChatGPT, has been ranked the best AI tool for ...

Research into the intestinal cells of Burmese pythons has revealed the existence of a previously unknown cell type, ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...