most citedAuto-Configured Explainable Graph Neural Networks for Multi-Site Pollution Prediction

6 citations · 6 across the 1 of their papers we have counts for

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cs.LG2026★ 6 cited

Auto-Configured Explainable Graph Neural Networks for Multi-Site Pollution Prediction

Abdelkader Dairi, Fouzi Harrou, Ying Sun

Accurate particulate matter (PM) prediction is crucial for mitigating air pollution. Graph Neural Networks (GNNs) effectively model spatiotemporal dependencies, but predefined grap…