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 ...
Abstract: Exploring the network-level spatiotemporal traffic interplay through traffic pattern recognition or traffic prediction is essential for intelligent traffic systems. Prediction models ...
Abstract: Graph reservoir computing (GraphRC) gains increasing attention by virtue of its high training efficiency. However, since GraphRC is developed without knowledge of its internal mechanism, it ...
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