Bingheng Pang

Dynamic Graph Convolutional Networks with Spatiotemporal Missing Pattern Awareness

Missing data is ubiquitous phenomenon in the time series community, significantly challenging forecasting due to incomplete ground truth and sparse data. Most previous Multi-variate Time Series Forecasting with Missing Values (MTSFMV) approaches usually assume static missing patterns, neglecting the…