spektral
Graph neural network library
A Python library for building graph neural networks with Keras and TensorFlow 2.
Graph Neural Networks with Keras and Tensorflow 2.
2k stars
45 watching
334 forks
Language: Python
last commit: 10 months ago
Linked from 3 awesome lists
deep-learninggraph-deep-learninggraph-neural-networkskeraspythontensorflowtensorflow2
Related projects:
Repository | Description | Stars |
---|---|---|
leriomaggio/deep-learning-keras-tensorflow | A comprehensive tutorial on building and training deep neural networks using Keras and TensorFlow | 2,948 |
benedekrozemberczki/capsgnn | A PyTorch implementation of a graph neural network architecture | 1,246 |
benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 402 |
tkipf/pygcn | A PyTorch implementation of a graph neural network architecture for semi-supervised classification | 5,198 |
google-deepmind/graph_nets | An open-source library for building graph networks in TensorFlow and Sonnet | 5,360 |
benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 268 |
benedekrozemberczki/appnp | A PyTorch implementation of a graph neural network model that learns personalized node representations | 363 |
tensorflow/gnn | Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. | 1,362 |
benedekrozemberczki/clustergcn | A PyTorch implementation of a clustering algorithm for graph neural networks | 787 |
benedekrozemberczki/graphwaveletneuralnetwork | An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. | 574 |
keras-team/autokeras | An AutoML system based on Keras for automating deep learning workflows | 9,154 |
benedekrozemberczki/simgnn | An implementation of SimGNN, a neural network approach to computing graph similarity | 759 |
diego999/pygat | An implementation of the Graph Attention Network model using PyTorch. | 2,914 |
dmlc/dgl | A Python package for building deep learning models on graph data structures | 13,548 |
graphdeeplearning/benchmarking-gnns | A collection of datasets and tools for evaluating graph neural networks | 2,523 |