There are 2 repositories under message-passing-neural-network topic.
Message Passing Neural Networks for Simplicial and Cell Complexes
Measuring generalization properties of graph neural networks
Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
Official repository for Self-Attention Message Passing for Contrastive Few-Shot Learning
Lorentz group equivariant autoencoders based on Lorentz Group Network
Message-Passing Neural Network for Chemistry
GNN trained on the ZINC dataset (graph-level regression)
A project utilizing graph neural network to predict BBBP, featuring a modular model architecture.
A collection of projects using graph neural networks implemented from first principles, and using the PyTorch Geometric library
Master thesis: JAT (Jraph Attention Networks), a deep learning architecture to predict the potential energy and forces of molecules. Adapts Graph Attention Networks (GATv2) within the Message Passing Neural Networks framework to computational chemistry in JAX
Graph neural network autoencoders for jets in HEP
Efficient Subgraph GNNs by Learning Effective Selection Policies (ICLR 2024)
unknown edge & node prediction , more
GNN for predicting absorption spectra. Architecture uses Message Passing Framework to understand molecular features.
GGPM - GraphNN Generation of Organic Photovoltaic Molecules