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20232025
most citedA Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends

1 citations · 1 across the 9 of their papers we have counts for

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cs.AI2024

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction

Zhihao Wen, Yuan Fang, Pengcheng Wei +3

Predicting Remaining Useful Life (RUL) plays a crucial role in the prognostics and health management of industrial systems that involve a variety of interrelated sensors. Given a c…

cs.AI2024

Graph Generation Powered with LLMs for Boosting Multivariate Time-Series Representation Learning

Yucheng Wang, Min Wu, Ruibing Jin +3

Sourced from multiple sensors and organized chronologically, Multivariate Time-Series (MTS) data involves crucial spatial-temporal dependencies. To capture these dependencies, Grap…