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• Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
  2021 · 40 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 State-Space Models and Latent Relational Inference
  2023 · 3 citations
• Graph Deep Learning for Time Series Forecasting
  2023 · 3 citations
• Scalable Spatiotemporal Graph Neural Networks
  2022 · 3 citations
• Relational Conformal Prediction for Correlated Time Series
  2025 · 1 citations
• Position: Current Benchmarking Hinders Real Progress in Deep Learning for Time Series Forecasting
  2025
• ResCP: Reservoir Conformal Prediction for Time Series Forecasting
  2025
• Hierarchical Message-Passing Policies for Multi-Agent Reinforcement Learning
  2025
• On the Regularization of Learnable Embeddings for Time Series Forecasting
  2024