The work explores the integration of behavioral analytics and artificial intelligence (AI) techniques, specifically Graph Convolutional Networks (GCNs) and deep learning, to predict student academic ...

Massive MIMO (multiple-input multiple-output) detection is an important topic in wireless communication and various machine learning based methods have been developed recently for this task.

Discovering microbes underlying disease traits opens up opportunities for the diagnosis and effective treatment of diseases. However, traditional methods are often based on biological experiments, ...

Baul et al., (2022) offers omicsGAT, a graph attention network (GAT) model that blends graph learning with attention processes for cancer subtype identification based on RNA-seq data. By allocating ...