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Jacob Zwart

2 accepted papers

2025

Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks

AAAI 2025technical

This work introduces a novel graph neural networks (GNNs)-based method to predict stream water temperature and reduce model bias across locations of different income and education levels. Traditional physics-based models often have limited accuracy because they are necessarily approximations of real…

Cited by 0SourcePDFScholar
2024

Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks

AAAI 2024technical

Accurate prediction of water quality and quantity is crucial for sustainable development and human well-being. However, existing data-driven methods often suffer from spatial biases in model performance due to heterogeneous data, limited observations, and noisy sensor data. To overcome these challen…