gcn

Graph neural network library

An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries.

Implementation of Graph Convolutional Networks in TensorFlow

GitHub

45 stars
5 watching
11 forks
Language: Python
last commit: over 6 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
tensorflow/gnn Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. 1,371
hongyanggao/lgcn An implementation of learnable graph convolutional networks for efficient graph processing 46
eilene/gwnn A TensorFlow implementation of a graph convolution algorithm using wavelet transforms instead of traditional methods. 64
priba/nmp_qc An implementation of neural networks on graph structures for learning molecular properties 339
benedekrozemberczki/mixhop-and-n-gcn A deep learning framework implementation of higher-order graph convolutional architectures and their applications 402
benedekrozemberczki/sgcn An implementation of a deep learning algorithm for graph data 268
google-research/tf-slim A lightweight library for defining and training neural networks in TensorFlow. 373
matenure/fastgcn Implementation of graph convolutional network algorithms with sampling techniques to improve learning speed and efficiency 520
google-deepmind/jraph A lightweight library for working with graph neural networks in jax. 1,378
datake/adagcn An implementation of a graph convolutional network model that adapts to deep models using a boosting technique 60
google/tensornetwork A library for easy and efficient manipulation of tensor networks. 1,823
graph4ai/graph4nlp A Python library that enables the use of Graph Neural Networks for Natural Language Processing tasks. 1,674
taehoonlee/tensornets A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. 1,004
hasnainraz/fc-densenet-tensorflow Re-implementation of a 100-layer fully convolutional network architecture for image segmentation 123
ahmedfgad/numpyann A Python library implementing artificial neural networks using NumPy. 98