# A deep graph neural network-based link prediction model for proactive anomaly detection in discrete manufacturing workshop

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-graph-neural-network-based-link-prediction-model-for-proactive-anomaly/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shengbo Wang,Yu Guo,Shaohua Huang,Ruixi Lai,Litong Zhang,Weiwei Qian |
| Citations | 13 |
| DOI | 10.1016/j.jmsy.2025.01.022 |
| Fields | Business, Management and Accounting,Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4407149895 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Shengbo Wang](https://scholariq.org/researchers/shengbo-wang/)
- [Yu Guo](https://scholariq.org/researchers/yu-guo/)
- [Weiwei Qian](https://scholariq.org/researchers/weiwei-qian/)

## Paper journal

- [Journal of Manufacturing Systems](https://scholariq.org/journals/journal-of-manufacturing-systems/)

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)
- [Supply Chain Resilience and Risk Management](https://scholariq.org/topics/supply-chain-resilience-and-risk-management/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.