Software
Datasets
Benchmark dataset for graph classification [Link]
Python
Ensemble Conformalized Quantile Regression [Link]
Reservoir Computing framework for multivariate time series classification [Link]
Spectral Clustering with Graph Neural Networks for Graph Pooling [Link]
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling [Link]
Bidirectional Deep Echo State Networks [Link]
Basic Tensorflow Autoencoder [Link]
Kernelized Autoencoder for missing data [Link]
Echo State Network with genetic algorithm for hyperparameters optimization [Link]
Recurrent Neural Networks (Elmann RNN, LSTM, GRU) for time series prediction [Link]
R
Automatic approaches for Short-Term Load Forecasting [Link]
Matlab
Time series Cluster Kernel [Link]
Data-driven detrending of nonstationary fractal time series with echo state networks [Link]
PROjected CLUstering (PROCLUS) algorithm for subspace clustering [Link]
Local Dissimilarity Agent Based Cluster Discoverer (LDABCD) algorithm [Link]
Approximate String Online MatchingASOM (ASOM) algorithm [Link]
Echo State Network with Recurrent Quantification Analysis [Link]