Project Name	Stars	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Dgl Lifesci	558	4	a year ago	17	December 21, 2022	25	apache-2.0	Python
Python package for graph neural networks in chemistry and biology
Megnet	444		a year ago			21	bsd-3-clause	Jupyter Notebook
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Drkg	372		2 years ago			15	apache-2.0	Jupyter Notebook
A knowledge graph and a set of tools for drug repurposing
Graphinvent	312		a year ago			10	mit	Python
Graph neural networks for molecular design.
Rl_graph_generation	216		3 years ago			7	bsd-3-clause	Python

Constrained Graph Variational Autoencoder	203		a year ago			4	mit	Python
Sample code for Constrained Graph Variational Autoencoders
Moleculargnn_smiles	182		3 years ago			5	apache-2.0	Python
The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.
Eagcn	181		3 years ago					Python
Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
Espaloma	181		5 months ago	2	September 30, 2022	57	mit	Python
Extensible Surrogate Potential of Ab initio Learned and Optimized by Message-passing Algorithm 🍹https://arxiv.org/abs/2010.01196
Moleculargraph.jl	177		3 months ago			17	mit	Julia
Graph-based molecule modeling toolkit for cheminformatics

Alternatives To Constrained Graph Variational Autoencoder

Select To Compare

Dgl Lifesci ⭐ 558

Python package for graph neural networks in chemistry and biology

dependent packages 4total releases 17most recent commit a year ago

Megnet ⭐ 444

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

most recent commit a year ago

Drkg ⭐ 372

A knowledge graph and a set of tools for drug repurposing

most recent commit 2 years ago

Graphinvent ⭐ 312

Graph neural networks for molecular design.

most recent commit a year ago

Rl_graph_generation ⭐ 216

most recent commit 3 years ago

Constrained Graph Variational Autoencoder ⭐ 203

Sample code for Constrained Graph Variational Autoencoders

most recent commit a year ago

Moleculargnn_smiles ⭐ 182

The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.

most recent commit 3 years ago

Eagcn ⭐ 181

Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling

most recent commit 3 years ago

Espaloma ⭐ 181

Extensible Surrogate Potential of Ab initio Learned and Optimized by Message-passing Algorithm 🍹https://arxiv.org/abs/2010.01196

total releases 2most recent commit 5 months ago

Moleculargraph.jl ⭐ 177

Graph-based molecule modeling toolkit for cheminformatics

most recent commit 3 months ago

Suggest An Alternative To constrained-graph-variational-autoencoder

Alternative Project Comparisons

Constrained Graph Variational Autoencoder vs Dgl Lifesci

Constrained Graph Variational Autoencoder vs Megnet

Constrained Graph Variational Autoencoder vs Drkg

Constrained Graph Variational Autoencoder vs Graphinvent

Constrained Graph Variational Autoencoder vs Rl_graph_generation

Constrained Graph Variational Autoencoder vs Moleculargnn_smiles

Constrained Graph Variational Autoencoder vs Eagcn

Constrained Graph Variational Autoencoder vs Espaloma

Constrained Graph Variational Autoencoder vs Moleculargraph.jl

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