Link Prediction using Graph Neural Networks for Master Data Management [article]

Balaji Ganesan, Srinivas Parkala, Neeraj R Singh, Sumit Bhatia, Gayatri Mishra, Matheen Ahmed Pasha, Hima Patel, Somashekar Naganna
2020 arXiv   pre-print
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
more » ... g, explainability and verification for Link Prediction in Master Data Management, and discuss our results.
arXiv:2003.04732v2 fatcat:qfak6f4265gerl7yvj36nbl444