Visualization Framework for XAI on GNNs
Projects
Seoul Urban Data Science
In this project, we researched factors that impact on air quality levels. First, we collect millions of records of historical data including weather data and air pollutant data from 2010 to 2018 of many cities in China and South Korea. We evaluated the accuracy of different deep learning methods on air quality forecasting for these cities. We published three papers in this project, which present many valuable findings.