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• Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
  2021 · 40 citations
• A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
  2023 · 31 citations
• Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
  2022 · 19 citations
• Sparse Graph Learning from Spatiotemporal Time Series
  2022 · 11 citations
• Taming Local Effects in Graph-based Spatiotemporal Forecasting
  2023 · 7 citations
• Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
  2023 · 4 citations
• Graph Deep Learning for Time Series Forecasting
  2023 · 3 citations
• Scalable Spatiotemporal Graph Neural Networks
  2022 · 3 citations
• Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
  2024 · 2 citations
• Relational Conformal Prediction for Correlated Time Series
  2025 · 1 citations
• PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning
  2025
• On the Regularization of Learnable Embeddings for Time Series Forecasting
  2024