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
A simple python package for graph theory that supports multi-edges, hyper-edges, looped-edges and every other combination of these.
MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
A comprehensive Rust library providing efficient graph algorithms for solving real-world problems in social network analysis, transportation optimization, recommendation systems, and more
Route finder in a multigraph for the city of Porto with A*,ALT and Genetic Algorithm implementations
Recommendation System by Using Factorized based matrix completion MGCNN+RNN
the python class for plotting different values with additional axis using ROOT framework
A discrete math graph library
Web app for finding routes between two stations in the Boston Metro System.
App to test navigation 3
Hyper-, multi-, open-graphs backed by incidence matrices
Turn any binary relation into a partial order relation with a minimized loss of information
JavaFX app for finding routes between two stations in the Boston Metro System.
Empirical verification of Egressy et al. (AAAI 2024) — StandardGIN vs MultiGIN on directed multigraph AML pattern detection with interactive visualizer
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