FastGCN
GCN sampler
Implementation of graph convolutional network algorithms with sampling techniques to improve learning speed and efficiency
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
519 stars
12 watching
111 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list
fastgcngraph-convolutional-networksgraphsagereddit
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 268 |
| benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 402 |
 hongyanggao/lgcn | An implementation of learnable graph convolutional networks for efficient graph processing | 46 |
| benedekrozemberczki/clustergcn | A PyTorch implementation of a clustering algorithm for graph neural networks | 787 |
 liqimai/gcn | An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries. | 45 |
 eilene/gwnn | A TensorFlow implementation of a graph convolution algorithm using wavelet transforms instead of traditional methods. | 64 |
| benedekrozemberczki/simgnn | An implementation of SimGNN, a neural network approach to computing graph similarity | 759 |
 ivaniscoding/gnn-for-combinatorial-optimization | An implementation of graph neural networks for solving combinatorial optimization problems | 42 |
| benedekrozemberczki/capsgnn | A PyTorch implementation of a graph neural network architecture | 1,246 |
 wkentaro/fcn | An implementation of fully convolutional networks in Chainer, a deep learning framework. | 218 |
 ahmedfgad/cnngenetic | Trains convolutional neural networks using the genetic algorithm | 22 |
| ahmedfgad/numpycnn | An implementation of a convolutional neural network (CNN) using NumPy for basic classification tasks. | 570 |
| benedekrozemberczki/appnp | A PyTorch implementation of a graph neural network model that learns personalized node representations | 363 |
 mdeff/cnn_graph | An implementation of convolutional neural networks on graphs using spectral filtering | 1,339 |
| benedekrozemberczki/pytorch_geometric_temporal | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,669 |