Abstract This study aims to develop a model for producing dynamic sequences (trajectories) using latent space and Neural ODEs (Ordinary Differential Equations). The application of this model is demonstrated in …

Abstract This study aims to develop a model for producing dynamic sequences that depend on latent space and Neural ODE, with applications in studying financial distress. By using an encoder …

 Abstract Predicting financial distress is crucial for companies to avoid bankruptcy and for investors to make informed decisions. Traditional machine learning models often struggle to capture complex relationships between entities …

1. Résumé : Dans cette étude, nous proposons une approche innovante pour prédire la détresse financière des entreprises en utilisant les réseaux de neurones graphiques (GNN). En exploitant les relations …

 Résumé Cet article de recherche aborde l’analyse des relations entre utilisateurs au sein des réseaux sociaux en utilisant des réseaux neuronaux graphiques (GNN). Un modèle GNN a été appliqué à …

 Abstract This research paper addresses the analysis of user relationships within social networks using Graph Neural Networks (GNN). A GNN model was applied to a social network derived from Facebook …

 الملخص تتناول هذه الورقة البحثية تحليل العلاقات بين المستخدمين داخل الشبكات الاجتماعية باستخدام الشبكات العصبية المعتمدة على الرسوم البيانية (GNN). تم تطبيق نموذج GNN على شبكة اجتماعية مستمدة من بيانات …