dgl-lifesci
Graph neural networks library
A Python package for applying deep learning on graphs to various life science applications.
Python package for graph neural networks in chemistry and biology
734 stars
17 watching
151 forks
Language: Python
last commit: almost 3 years agoLinked from 1 awesome list
bioinformaticscheminformaticsdeep-learningdgldrug-discoverygeometric-deep-learninggraph-neural-networksmolecule
hsiaoyi0504/awesome-cheminformaticsRelated projects:
| Repository | Description | Stars |
|---|---|---|
| awslabs/dgl-ke | A package for learning large-scale knowledge graph embeddings with high performance and scalability | 1,277 |
 graph4ai/graph4nlp | A Python library that enables the use of Graph Neural Networks for Natural Language Processing tasks. | 1,676 |
 google-deepmind/jraph | A lightweight library for working with graph neural networks in jax. | 1,380 |
 a-r-j/graphein | A software package for constructing and analyzing geometric representations of protein structures and biological interaction networks. | 1,049 |
 derwenai/kglab | An abstraction layer in Python for building knowledge graphs using popular graph libraries. | 592 |
 nlnetlabs/ldns | A DNS library that provides a programming interface to DNS tool programming and includes features like DNSSEC. | 301 |
 zjulearning/graph_level_drug_discovery | A Python project that uses machine learning to improve the representation of molecules in drug discovery | 60 |
 dmlc/gnnlens2 | An interactive visualization tool for graph neural networks | 242 |
 liqimai/gcn | An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries. | 45 |
 nitishsrivastava/deepnet | A collection of GPU-accelerated deep learning algorithms implemented in Python | 895 |
 deepgraphlearning/recommendersystems | A comprehensive library of algorithms and techniques for building recommender systems | 1,102 |
 hongyanggao/lgcn | An implementation of learnable graph convolutional networks for efficient graph processing | 46 |
 thumnlab/autogl | An autoML framework for machine learning on graphs, enabling researchers and developers to automate the process of building and training neural networks on graph data. | 1,094 |
 su-informatics-lab/dstg | Software implementation of graph-based AI method for decomposing spatial transcriptomics data | 35 |
 ajtulloch/dnngraph | A DSL and toolkit for designing and optimizing deep neural networks in Haskell | 702 |