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Prédiction du risque d’entreprise et recherche d’interprétabilité basées sur les GNNs

Prédiction du risque d’entreprise et recherche d’interprétabilité basées sur les GNNs

Huaming Du

105,25 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Teoría general del derecho
ISBN:
9786136345697
105,25 €
IVA incluido
Disponible

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Ce livre intègre la recherche sur les risques financiers des entreprises à la technologie des réseaux neuronaux graphiques (GNN) pour relever les défis de l’analyse des données financières complexes et des interconnexions entre les entreprises. Il explore trois domaines clés : 1. Représentation dynamique des graphes : Un cadre pour l’apprentissage de représentations graphiques dynamiques basées sur les rôles structurels est proposé, capturant l’évolution temporelle et les dépendances topologiques globales, marquant la première utilisation de l’apprentissage récurrent dans ce contexte.2. les effets de débordement du momentum : Un algorithme GNN dual est introduit pour modéliser les relations interentreprises dynamiques et complexes et les effets de débordement, offrant une nouvelle approche pour analyser leur impact sur la volatilité du marché des valeurs mobilières. 3. Interprétabilité du risque financier : Pour surmonter la nature de boîte noire des modèles d’apprentissage profond, un cadre GNN hétérogène est développé pour générer des sous-graphes de preuves qui révèlent les facteurs internes et externes affectant le risque financier de l’entreprise, améliorant ainsi la transparence du modèle.

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