Hierarchical Inter-Message Passing for Learning on Molecular Graphs

Molecule Generation and Translation Framework. This is a joint PyTorch implementation of three papers in VAE-based molecule generation and translation including JTVAE, V-JTNN-GAN, HierVAE and HierVGNN

MADBayes is a Python library about Bayesian Networks.

An optimized algorithm to calculate a minimal tree decomposition (aka junction tree, clique tree) of a graph

Implementation of exact inference on Bayesian Network using Junction Trees in Python

This repository contains the code and documentation for the Artificial Intelligence exam project. The project focuses on the topic of "Inference with Junction Trees on Belief Networks." Below, you will find information about the repository's structure and contents.

This R-package is for learning the structure of the type of graphical models called t-cherry trees from data. The structure is determined either directly from data or by increasing the order of a lower order t-cherry tree.