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Found 9 papers, 5 papers with code
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction
We enhance the model by using a custom attention mechanism that weights the different time snapshots according to their importance.
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
We compare the results of various models to demonstrate the importance of capturing graph representation, temporal dependencies, and using a profit-driven methodology for evaluation.
Influencer Detection with Dynamic Graph Neural Networks
Leveraging network information for prediction tasks has become a common practice in many domains.
Nordic vaccination strategies face/off via age range comparative analysis on key indicators of COVID-19 severity and healthcare stress level
In this paper we analyze the impact of vaccinations on spread of the COVID-19 virus for different age groups.
You better watch out: US COVID-19 wave dynamics versus vaccination strategy
We employ the epidemic Renormalization Group (eRG) framework to understand, reproduce and predict the COVID-19 pandemic diffusion across the US.
Physics and Society Populations and Evolution
Multilayer Network Analysis for Improved Credit Risk Prediction
We present a multilayer network model for credit risk assessment.
Social network analytics for supervised fraud detection in insurance
Finally, we combine these network features with the claim-specific features and build a supervised model with fraud in motor insurance as the target variable.
Evolution of Credit Risk Using a Personalized Pagerank Algorithm for Multilayer Networks
Our personalized PageRank algorithm for multilayer networks allows for quantifying how credit risk evolves across time and propagates through these networks.
The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics
In terms of profit, the best model is the one built with only calling behavior features.
