Search Results - subject:"graph convolutional networks"

A graph convolutional network for optimal intelligent predictive maintenance of railway tracks

MajidiParast, Saeed; Neamatian Monemi, Rahimeh; … - 2025

. We use machine learning and Graph Convolutional Networks (GCNs) to optimize the maintenance schedules for railway …

Persistent link: https://www.econbiz.de/10015420116

Graph Convolutional Networks for logistics optimization : a survey of scheduling and operational applications

Neamatian Monemi, Rahimeh; Gelareh, Shahin; González, … - In: Transportation research : an international journal 197 (2025), pp. 1-28

Persistent link: https://www.econbiz.de/10015450384

SCF credit risk assessment with limited labeled data using label propagation algorithm and complex network approaches

Peng, Qiaosheng; Zhu, You; Wang, Gang-Jin - In: International review of financial analysis 107 (2025), pp. 1-21

Persistent link: https://www.econbiz.de/10015628518

Panoptic migrating birds optimization with GCN-guided population iteration : a feature-guided intelligent optimizer (FGIO) for flexible job shop scheduling

Zhao, Ze; Jiang, Mingyan; Yuan, Dongfeng - In: Operational research : an international journal 25 (2025) 4, pp. 1-43

Persistent link: https://www.econbiz.de/10015593320

Explainable recommendation based on weighted knowledge graphs and graph convolutional networks

Boughareb, Rima; Seridi, Hassina; Beldjoudi, Samia - In: Journal of information & knowledge management : JIKM 22 (2023) 3, pp. 1-25

Persistent link: https://www.econbiz.de/10014388598

Improving anti-money laundering in bitcoin using evolving graph convolutions and deep neural decision forest

Mohan, Anuraj; P.V., Karthika; Sankar, Parvathi; Maya … - In: Data Technologies and Applications 57 (2023) 3, pp. 313-329

Purpose Money laundering is the process of concealing unlawfully obtained funds by presenting them as coming from a legitimate source. Criminals use crypto money laundering to hide the illicit origin of funds using a variety of methods. The most simplified form of bitcoin money laundering leans...

Persistent link: https://www.econbiz.de/10014712696

Multi-layer and parallel-connected graph convolutional networks for detecting debt default in P2P networks

Lu, Shan; Wang, Yu; Liu, Xueyong; Jiang, Cheng - In: Emerging markets, finance & trade : a journal of the … 58 (2022) 6, pp. 1688-1701

Persistent link: https://www.econbiz.de/10013190184