Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...
Abstract: Telecommunication fraud has led to significant economic losses worldwide. Although Graph Neural Networks (GNNs) have shown potential in fraud detection, their performance in telecom fraud ...
This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...
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