message-passing-neural-network
There are 23 repositories under message-passing-neural-network topic.
twitter-research/cwn
Message Passing Neural Networks for Simplicial and Cell Complexes
beabevi/ESAN
Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
jeongwhanchoi/GREAD
GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023
beabevi/SUN
Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)
jeongwhanchoi/PANDA
🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
tk-rusch/MPMC
Message-Passing Monte Carlo (MPMC)
VirtuosoResearch/Generalization-in-graph-neural-networks
Measuring generalization properties of graph neural networks
lrnzgiusti/on-oversquashing
Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
ojss/SAMPTransfer
Official repository for Self-Attention Message Passing for Contrastive Few-Shot Learning
zichunhao/lgn-autoencoder
Lorentz group equivariant autoencoders based on Lorentz Group Network
rangsimanketkaew/mpnn
Message-Passing Neural Network for Chemistry
taindp98/ConAN-FGW
🧬 Official implementation of Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks [ICML 2024]
rmongeca/gnn
Graph Neural Network creation module, implemented in Tensorflow 2 with examples using the module and the iGNNition library for fast GNN prototyping.
stefanhoedl/JAT_potential
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
MicheleCattaneo/ZINC_GNN
GNN trained on the ZINC dataset (graph-level regression)
jaywyawhare/Molecular-Classification
A project utilizing graph neural network to predict BBBP, featuring a modular model architecture.
MultiTrickFox/Graph_Message_Passer
unknown edge & node prediction , more
petermchale/gnn
A collection of projects using graph neural networks implemented from first principles, and using the PyTorch Geometric library
quocdat32461997/ggpm
GGPM - GraphNN Generation of Organic Photovoltaic Molecules
zichunhao/gnn-jet-autoencoder
Graph neural network autoencoders for jets in HEP
Amadeus-System/Application-of-Crystal-Graph-Neural-Network-for-Spatial-Search-of-Halide-Perovskite-Potential-Energy
Repository For My Application of Crystal Graph Neural Network for Spatial Search of Halide Perovskite Potential Energy
beabevi/policy-learn
Efficient Subgraph GNNs by Learning Effective Selection Policies (ICLR 2024)
shubhamkrpandey19/gnn_predicting_absorption_spectra
GNN for predicting absorption spectra. Architecture uses Message Passing Framework to understand molecular features.