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Found 2 papers, 1 papers with code
AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting
Forecasting spatio-temporal correlated time series of sensor values is crucial in urban applications, such as air pollution alert, biking resource management, and intelligent transportation systems.
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
This paper solves the fake news detection problem under a more realistic scenario on social media.
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