Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.

To effectively map local features of tiles to the corresponding adjacency matrix, a graph neural network is employed. This trained model is used to predict short violations at the placement stage.

Supply Chain Finance (SCF) in the energy sector has emerged as a critical area of focus due to the need for sustainable and efficient financial solutions to manage the complex interactions between ...

In this paper, we propose MAGNET, a Meta-path based Attentional Graph learning model for code vulNErability deTection. We design a multi-granularity meta-path to consider the heterogeneous relations ...