STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Real-time payment processing platform with async fraud detection pipeline: rule-based scoring, JGraphT graph anomaly detection (circular flow, hub signals, cluster analysis), and Python ML ...

Abstract: Graph neural networks lose a lot of their computing power when more network layers are added. As a result, the majority of existing graph neural networks have a shallow depth of learning.

Cleanup efforts continue Monday evening in Bucyrus, after officials said 19 train cars derailed and five of them overturned Sunday night on Whetmore Street.Jesu Rebuilding History: Celebrating the ...

"The no-kill-switch kind of thing? It's increasingly becoming a requirement," says Neo4j CEO Emil Eifrem. This is one of the reasons behind the company's decision to buy GraphAware, an intelligence ...