Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...
Abstract: Graph neural networks (GNNs) have emerged as a powerful framework for a wide range of node-level graph learning tasks. However, their performance typically depends on random or minimally ...
Streaming transaction scoring with graph context. Hybrid risk engine: rule-informed heuristic + PyTorch edge classifier. Self-supervised pretraining (denoising autoencoder) before supervised edge ...
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