LGCN
Graph processor
An implementation of learnable graph convolutional networks for efficient graph processing
Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18
46 stars
2 watching
23 forks
Language: Python
last commit: over 6 years ago
Linked from 1 awesome list
convolutional-networksgraph
Related projects:
Repository | Description | Stars |
---|---|---|
liqimai/gcn | An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries. | 45 |
benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 270 |
benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 403 |
hongyanggao/pixeltcn | An implementation of a custom convolutional neural network layer designed to improve up-sampling operations in deep learning models | 97 |
matenure/fastgcn | Implementation of graph convolutional network algorithms with sampling techniques to improve learning speed and efficiency | 520 |
eilene/gwnn | A TensorFlow implementation of a graph convolution algorithm using wavelet transforms instead of traditional methods. | 64 |
muhanzhang/dgcnn | A deep learning architecture for graph classification that extracts vertex features through propagation-based graph convolution and retains more node information than traditional sum pooling methods. | 174 |
benedekrozemberczki/clustergcn | A PyTorch implementation of a clustering algorithm for graph neural networks | 788 |
chingyaoc/ggnn.pytorch | An implementation of a neural network architecture for processing graph-structured data and making predictions on nodes. | 466 |
benedekrozemberczki/simgnn | An implementation of SimGNN, a neural network approach to computing graph similarity | 768 |
tensorflow/gnn | Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. | 1,372 |
benedekrozemberczki/pdn | An implementation of a neural network architecture designed to process graph-structured data | 58 |
benedekrozemberczki/graphwaveletneuralnetwork | An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. | 577 |
benedekrozemberczki/capsgnn | A PyTorch implementation of a graph neural network architecture | 1,246 |
zhengwang100/rect | A deep learning framework for graph representation learning with partially labeled data | 19 |