Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
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Updated
Oct 16, 2020 - Jupyter Notebook
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
Tsetlin Machine for Logical Learning and Reasoning With Graphs
MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.
A simple python package for graph theory that supports multi-edges, hyper-edges, looped-edges and every other combination of these.
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
Route finder in a multigraph for the city of Porto with A*,ALT and Genetic Algorithm implementations
Web app for finding routes between two stations in the Boston Metro System.
Hyper-, multi-, open-graphs backed by incidence matrices
Turn any binary relation into a partial order relation with a minimized loss of information
Recommendation System by Using Factorized based matrix completion MGCNN+RNN
the python class for plotting different values with additional axis using ROOT framework
JavaFX app for finding routes between two stations in the Boston Metro System.
A discrete math graph library
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