Projects in Awesome Lists by FilippoMB
A curated list of projects in awesome lists by FilippoMB .
https://github.com/filippomb/spectral-clustering-with-graph-neural-networks-for-graph-pooling
Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
graph-neural-networks graph-pooling spectral-clustering unsupervised-learning
Last synced: 31 Oct 2025
https://github.com/FilippoMB/Ensemble-Conformalized-Quantile-Regression
Valid and adaptive prediction intervals for probabilistic time series forecasting
conformal-prediction ensemble-machine-learning frequentist-statistics frequentistic-confidence-intervals prediction-intervals probabilistic-forecasting quantile-regression random-forest recurrent-neural-networks time-series-forecasting time-series-prediction uncertainty-quantification
Last synced: 11 May 2025
https://github.com/filippomb/simplifying-clustering-with-graph-neural-networks
Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neural Networks".
graph-classification graph-clustering graph-coarsening graph-neural-networks graph-pooling node-clustering spectral-clustering
Last synced: 31 Oct 2025
https://github.com/filippomb/total-variation-graph-neural-networks
Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
clustering community-detection graph-clustering graph-neural-network graph-pooling spectral-clustering total-variation-loss unsupervised-learning
Last synced: 31 Oct 2025
https://github.com/filippomb/the-expressive-power-of-pooling-in-gnns
Code and dataset to test empirically the expressive power of graph pooling operators.
expressiveness graph-neural-networks graph-pooling weisfeiler-lehman
Last synced: 31 Oct 2025
https://github.com/filippomb/pyramidal-reservoir-graph-neural-networks
Official repository of the paper "Pyramidal Reservoir Graph Neural Networks".
graph-classification graph-neural-networks graph-pooling reservoir-computing
Last synced: 31 Oct 2025
https://github.com/filippomb/tutorial_gnn_explainability
This in an introduction to PyTorch Geometric, the deep learning library for Graph Neural Networks, and to interpretability tools for analyzing the decision process of a GNN.
captum explainability explainable-ai geometric-deep-learning graph-neural-networks pytorch-geometric tutorial tutorial-code
Last synced: 31 Oct 2025
https://github.com/filippomb/recognition-of-polar-lows-in-sentinel-1-sar-images-with-deep-learning
Code implementation for the paper "Recognition of polar lows in Sentinel-1 SAR images with deep learning".
cyclones deep-learning polar-low remote-sensing-image synthetic-aperture-radar
Last synced: 31 Oct 2025
https://github.com/filippomb/learning-representations-for-multivariate-time-series-with-missing-data
Learns representations of time series with missing data with an autoencoder regularized by a time series kernel.
Last synced: 09 Mar 2026
https://github.com/filippomb/autoencoder-tensorflow
Tensorflow implementation of an AE. Multiple models can be handled and trained at the same time.
Last synced: 11 Mar 2026
https://github.com/filippomb/cross-validation-tutorial
Introduction to cross-valdation in Machine Learning, with coding examples for supervised classification.
cross-validation k-fold-cross-validation leave-one-out-cross-validation model-selection stratified-cross-validation supervised-learning
Last synced: 31 Oct 2025