A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

Collection of machine learning models for predicting toxicity of molecules

ToxDL: Toxicity predictor with deep learning

High-Performance Symbolic Regression in Python and Julia

predicting equations from raw data with deep learning

[DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery

Neural Graph Differential Equations (Neural GDEs)

A Python Library for Machine Learning in Epidemic Data Modeling and Analysis

Official Implementation of the CVPR'20 paper 'Π-nets: Deep Polynomial Neural Networks' and its T-PAMI-21 extension.

Code to early predict the onset of critical transitions in networked dynamical systems.

Full reconstruction of simplicial complexes from binary simplicial dynamics

This is my self learning toward covid-19 outbreaks in Malaysia. I am using a new machine learning approach called Physics Informed Neural Networks (PINNs))

PINN is implemented for the SIR model as a part of the project for the course E0 270

An application of PINN to SIR modeling

Python library for Reservoir Computing using Echo State Networks

Reservoir computing sous Jupyter

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

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

Short examples using the PyTorch Geometric Temporal library for temporal Graph Neural Networks (GNN).

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

HGX is a multi-purpose, open-source Python library for higher-order network analysis

A pytorch library for graph and hypergraph computation.

Code for Research Project "Learning Discrete Structures with Graph Neural Networks"

Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph Structure Learning"

Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"

A collection of papers on Graph Structural Learning (GSL)