gnn

Graph Network Library

Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques.

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

GitHub

1k stars
36 watching
180 forks
Language: Python
last commit: almost 2 years ago
Linked from 2 awesome lists

deep-learninggnnmachine-learningtensorflow

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
liqimai/gcnAn implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries.45
taehoonlee/tensornetsA collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows.1,004
google/tensornetworkA library for easy and efficient manipulation of tensor networks.1,826
tensorflow/haskellHaskell bindings for a popular machine learning framework, allowing developers to build and deploy neural networks in the Haskell programming language.1,583
eilene/gwnnA TensorFlow implementation of a graph convolution algorithm using wavelet transforms instead of traditional methods.64
dmlc/gnnlens2An interactive visualization tool for graph neural networks242
deepgraphlearning/gmnnA software framework that integrates statistical relational learning and graph neural networks for semi-supervised object classification and unsupervised node representation learning.403
google-research/tf-slimA lightweight library for defining and training neural networks in TensorFlow.373
tensorflow/ganProvides tools and utilities for training and evaluating Generative Adversarial Networks (GANs) in TensorFlow944
tensorflow/meshA library that enables distributed deep learning by partitioning tensors across processors in a mesh topology.1,597
fxsjy/gonnAn implementation of Neural Networks in Go Language361
benedekrozemberczki/mixhop-and-n-gcnA deep learning framework implementation of higher-order graph convolutional architectures and their applications403
delta2323/gb-gnnAnalyzes and optimizes the performance of graph neural networks using gradient boosting and various aggregation models.13
tensorflow/tensorflowAn end-to-end platform for building and deploying machine learning applications186,822
hongyanggao/lgcnAn implementation of learnable graph convolutional networks for efficient graph processing46