Filippo Maria Bianchi
Filippo Maria Bianchi
Time-series-classification-and-clustering-with-Reservoir-Computing
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
Benchmark_dataset_for_graph_classification
This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
Bidirectional-Deep-readout-Echo-State-Network
Multi-variate time series classification with a bi-directional ESN with a readout implemented as a deep neural network.
Ensemble-Conformalized-Quantile-Regression
Valid and adaptive prediction intervals for probabilistic time series forecasting
Total-variation-graph-neural-networks
Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
Simplifying-Clustering-with-Graph-Neural-Networks
Tensorflow and Pytorch implementation of "Just Balance GNN" for graph clustering.
The-expressive-power-of-pooling-in-GNNs
Code and dataset to test empirically the expressive power of graph pooling operators.
python-time-series-handbook
Material for the course "Time series analysis with Python"