FastGCN
by matenure
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
AI summary
GCN sampler
Implementation of graph convolutional network algorithms with sampling techniques to improve learning speed and efficiency
- stars
- 520
- forks
- 111
- watching
- 12
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Graph algorithm
An implementation of a deep learning algorithm for graph data
Graph CNN
A deep learning framework implementation of higher-order graph convolutional architectures and their applications
Graph processor
An implementation of learnable graph convolutional networks for efficient graph processing
Graph clustering library
A PyTorch implementation of a clustering algorithm for graph neural networks
Graph neural network library
An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries.
Graph Convolution Library
A TensorFlow implementation of a graph convolution algorithm using wavelet transforms instead of traditional methods.
Graph simulator
An implementation of SimGNN, a neural network approach to computing graph similarity
GNNs
An implementation of graph neural networks for solving combinatorial optimization problems
Graph neural network
A PyTorch implementation of a graph neural network architecture
wkentaro/fcn218
CNNs library
An implementation of fully convolutional networks in Chainer, a deep learning framework.
CNN Trainer
Trains CNNs using a genetic algorithm for classification problems where one class per sample is allowed.
CNN builder
A Python implementation of a Convolutional Neural Network from scratch using NumPy for building CNNs from scratch
Graph Neural Network Model
A PyTorch implementation of a graph neural network model that learns personalized node representations
mdeff/cnn_graph1.3K
Graph CNNs
An implementation of convolutional neural networks on graphs using spectral filtering
Temporal graph NN library
A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models
Featured in 1 awesome list
Each link jumps to the spot where the list mentions FastGCN.
