Showing 21–40 of 69 results
/ Date/ Name
Jun 18, 2025Over-squashing in Spatiotemporal Graph Neural NetworksMay 3, 2018Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold EmbeddingsJun 22, 2020Graph Neural Networks in TensorFlow and Keras with SpektralFeb 19, 2024Graph-based Virtual Sensing from Sparse and Partial Multivariate ObservationsApr 23, 2022AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphsMay 26, 2022Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse ObservationsMay 18, 2018Change Point Methods on a Sequence of GraphsJan 26, 2016Investigating echo state networks dynamics by means of recurrence analysisMar 26, 2023Object-Centric Relational Representations for Image GenerationJul 7, 2023A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly DetectionMay 19, 2025Malware families discovery via Open-Set Recognition on Android manifest permissionsFeb 13, 2025Relational Conformal Prediction for Correlated Time SeriesDec 27, 2025What Matters in Deep Learning for Time Series Forecasting?Jun 16, 2025PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep LearningJan 4, 2023Graph State-Space Models and Latent Relational InferenceSep 14, 2022Scalable Spatiotemporal Graph Neural NetworksOct 3, 2018A characterization of the Edge of Criticality in Binary Echo State NetworksDec 11, 2018Adversarial Autoencoders with Constant-Curvature Latent ManifoldsSep 9, 2019Graph Random Neural Features for Distance-Preserving Graph RepresentationsJul 22, 2019Deep Learning for Time Series Forecasting: The Electric Load Case