تقرير
Link Prediction using Graph Neural Networks for Master Data Management
| العنوان: | Link Prediction using Graph Neural Networks for Master Data Management |
|---|---|
| المؤلفون: | Ganesan, Balaji, Parkala, Srinivas, Singh, Neeraj R, Bhatia, Sumit, Mishra, Gayatri, Pasha, Matheen Ahmed, Patel, Hima, Naganna, Somashekar |
| سنة النشر: | 2020 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Social and Information Networks, Computer Science - Artificial Intelligence |
| الوصف: | Learning graph representations of n-ary relational data has a number of real world applications like anti-money laundering, fraud detection, and customer due diligence. Contact tracing of COVID19 positive persons could also be posed as a Link Prediction problem. Predicting links between people using Graph Neural Networks requires careful ethical and privacy considerations than in domains where GNNs have typically been applied so far. We introduce novel methods for anonymizing data, model training, explainability and verification for Link Prediction in Master Data Management, and discuss our results. Comment: 10 pages, 11 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2003.04732 |
| رقم الأكسشن: | edsarx.2003.04732 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |