Agl: a scalable system for industrial-purpose graph machine learning

D Zhang, X Huang, Z Liu, Z Hu, X Song, Z Ge… - arXiv preprint arXiv …, 2020 - arxiv.org
Machine learning over graphs have been emerging as powerful learning tools for graph
data. However, it is challenging for industrial communities to leverage the techniques, such …

Supporting financial inclusion with graph machine learning and super-app alternative data

L Roa, A Rodríguez-Rey, A Correa-Bahnsen… - Intelligent Systems and …, 2022 - Springer
Abstract The presence of Super-Apps have changed the way we think about the interactions
between users and commerce. It then comes as no surprise that it is also redefining the way …

InferTurbo: A scalable system for boosting full-graph inference of graph neural network over huge graphs

D Zhang, X Song, Z Hu, Y Li, M Tao… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
With the rapid development of Graph Neural Networks (GNNs), more and more studies focus
on system design to improve training efficiency while ignoring the efficiency of GNN …

Enhancing Credit Risk Classification Using LightGBM with Deep Feature Synthesis

SR Tambunan, J Amalia, KM Sitorus… - Journal of Information …, 2024 - journal-isi.org
In the digital financial services era, Peer-to-Peer (P2P) lending has emerged as a significant
innovation in fintech. However, credit risk remains a major concern due to the potential for …

Prediction of default risk borne by financial enterprises in China based on big data analysis approach

C Zhang, L Zhang - 2024 - researchsquare.com
With the development of digital technology, enterprises' online financial business
capabilities continue to improve. Predicting the default risk of borrowers is an important …

Machine Learning Models and Alternative Data in Credit Scoring: Statistical and Financial impact

LF Roa Ballén - 2021 - repositorio.uniandes.edu.co
Resumen en español Las Super-Apps han revolucionado el mercado de servicios
financieros al ofrecer soluciones prácticas ya la medida de cada individuo. En este trabajo …

Essays on the economics of peer-to-peer lending

T Li - 2022 - ueaeprints.uea.ac.uk
This thesis presents three empirical studies about the peer-to-peer (P2P) lending market.
The first study examines whether the announcement of a government support policy could …

[HTML][HTML] Graph-based Representations of Credit Portfolios and Their Analysis

S Mario - European journal of economics and management …, 2021 - cyberleninka.ru
Financial institutes have to be in a position to describe and to analyze the networks of
obligors in their credit portfolios. If one obligor defaults who is numerously connected with …