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Arxiv
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GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping
- GeoPro-Net is an intrinsically interpretable spatiotemporal model for forecasting spatiotemporal events.
- It introduces a novel Geo-concept convolution operation and employs statistical tests to extract predictive patterns.
- GeoPro-Net achieves better interpretability while maintaining competitive prediction performance compared to baselines.
- Experiments and case studies on real-world datasets demonstrate the effectiveness of GeoPro-Net.
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