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1. python-time-series-handbookpython-time-series-handbookPublic

   Book and material for the course "Time series analysis with Python" (STA-2003)

   Jupyter Notebook 283 61

2. Time-series-classification-and-clustering-with-Reservoir-ComputingTime-series-classification-and-clustering-with-Reservoir-ComputingPublic

   Implement Reservoir Computing models for time series classification, clustering, forecasting, and much more!

   Python 427 87

3. Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-PoolingSpectral-Clustering-with-Graph-Neural-Networks-for-Graph-PoolingPublic

   Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling".

   Python 278 53

4. Ensemble-Conformalized-Quantile-RegressionEnsemble-Conformalized-Quantile-RegressionPublic

   Valid and adaptive prediction intervals for probabilistic time series forecasting.

   Jupyter Notebook 104 11

5. Benchmark_dataset_for_graph_classificationBenchmark_dataset_for_graph_classificationPublic

   Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.

   Python 51 8

6. Simplifying-Clustering-with-Graph-Neural-NetworksSimplifying-Clustering-with-Graph-Neural-NetworksPublic

   Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neural Networks".

   Python 38 5