Abstract: Most existing coal mill fault warning methods fail to explicitly model the spatial dependencies among variables during the modeling process, thereby reducing the accuracy of feature ...

Abstract: Temporal knowledge graph (TKG) reasoning involves inferring future unknown facts based on historical data. Current approaches to temporal reasoning can be broadly categorized into two main ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Soldiers were encouraged to wash their feet regularly and often had their feet inspected. On the Western Front, the war was fought by soldiers in trenches. Trenches were long, narrow ditches dug into ...

Incorporating structural features into random-graph calculations should bring theoretical models describing the properties and behaviour of complex networks closer to real-world systems. You have full ...

The model achieves high accuracy using a Random Forest Classifier trained on breast cancer diagnostic features.

A Python package that implements multivariate Hawkes-style spatio‑temporal point processes on networks with deep kernels parameterized by Graph Neural Networks (GNNs). The CLI allows training from a ...