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Nourhan Ahmed

2 accepted papers

2025

Motif-aware Graph Neural Networks for Networked Time Series Imputation

AAAI 2025technical

Networked time series are time series on a graph, one for each node, with applications in traffic and weather monitoring. Graph neural networks are natural candidates for networked time series imputation and have recently outperformed existing alternatives such as recurrent and generative models for…

Cited by 0SourcePDFScholar
2024

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series

AAAI 2024technical

Forecasting irregularly sampled time series with missing values is a crucial task for numerous real-world applications such as healthcare, astronomy, and climate sciences. State-of-the-art approaches to this problem rely on Ordinary Differential Equations (ODEs) which are known to be slow and often…