CausalPOI proposes a spatio-temporal graph causal learning method for cold-start POI check-in forecasting that builds functional interaction graphs and treatment-control pairs to outperform baselines on SafeGraph data.
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Introduces evolutionary traffic datasets and a yearly streaming protocol, finding that many SOTA methods fail when sensor networks grow over decades.
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From XXLTraffic to EvoXXLTraffic: Scaling Traffic Forecasting to Sensor-Evolving Networks
Introduces evolutionary traffic datasets and a yearly streaming protocol, finding that many SOTA methods fail when sensor networks grow over decades.