graphein
Protein graph library
A software package for constructing and analyzing geometric representations of protein structures and biological interaction networks.
Protein Graph Library
1k stars
18 watching
132 forks
Language: Jupyter Notebook
last commit: 5 months ago
Linked from 1 awesome list
bioinformaticscomputational-biologydeep-learningdgldrug-discoverygene-regulatory-networksgeometric-deep-learninggraph-neural-networksinteractomeinteractomicsppi-networksproteinprotein-data-bankprotein-designprotein-structurepythonpytorchpytorch-geometricrnastructural-biology
lmmentel/awesome-python-chemistryRelated projects:
| Repository | Description | Stars |
|---|---|---|
 google-deepmind/jraph | A lightweight library for working with graph neural networks in jax. | 1,380 |
 thomasp85/ggraph | A grammar of graphics for relational data structures, extending ggplot2 to support network and graph visualization. | 1,080 |
 aspuru-guzik-group/selfies | A Python library that provides a robust representation of semantically constrained graphs, specifically for molecules in chemistry. | 696 |
 zjulearning/graph_level_drug_discovery | A Python project that uses machine learning to improve the representation of molecules in drug discovery | 60 |
 awslabs/dgl-lifesci | A Python package for applying deep learning on graphs to various life science applications. | 734 |
 derwenai/kglab | An abstraction layer in Python for building knowledge graphs using popular graph libraries. | 592 |
 graph4ai/graph4nlp | A Python library that enables the use of Graph Neural Networks for Natural Language Processing tasks. | 1,676 |
 neo4j-labs/graph | A high-performance graph algorithm library built on top of the graph_builder crate. | 390 |
 zigrazor/cxxgraph | A comprehensive C++ library for graph algorithms and analysis | 485 |
 phadej/graafi | An experimental JavaScript implementation of a graph data structure and algorithms | 20 |
 schochastics/graphlayouts | Provides algorithms for arranging complex network structures in a visually appealing manner | 275 |
 su-informatics-lab/dstg | Software implementation of graph-based AI method for decomposing spatial transcriptomics data | 35 |
 priba/nmp_qc | An implementation of neural networks on graph structures for learning molecular properties | 340 |
 benedekrozemberczki/appnp | A PyTorch implementation of a graph neural network model that learns personalized node representations | 367 |
| benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 270 |