GraphWaveletNeuralNetwork
Graph processing neural net
An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs.
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
577 stars
16 watching
117 forks
Language: Python
last commit: over 1 year ago
Linked from 2 awesome lists
convolutional-neural-networksdeep-learningdeepwalkgcngpt2gpt3graph-convolutiongraph-convolutional-networkgraph-neural-networksgraph-representationgraphsagegwnniclrmachine-learningnode2vecpytorchresearchsklearntensorflowtransformer
bharathgs/awesome-pytorch-list
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
| benedekrozemberczki/pdn | An implementation of a neural network architecture designed to process graph-structured data | 58 |
| benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 270 |
| benedekrozemberczki/appnp | A PyTorch implementation of a graph neural network model that learns personalized node representations | 367 |
| benedekrozemberczki/capsgnn | A PyTorch implementation of a graph neural network architecture | 1,246 |
| benedekrozemberczki/clustergcn | A PyTorch implementation of a clustering algorithm for graph neural networks | 788 |
| benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 403 |
| benedekrozemberczki/walklets | An implementation of an algorithm for learning graph representations from network data | 106 |
| benedekrozemberczki/seal-ci | A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. | 209 |
| benedekrozemberczki/gam | An implementation of a graph classification model using structural attention and PyTorch | 270 |
| benedekrozemberczki/pytorch_geometric_temporal | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,694 |
| benedekrozemberczki/simgnn | An implementation of SimGNN, a neural network approach to computing graph similarity | 768 |
| benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 |
| benedekrozemberczki/splitter | A PyTorch implementation of node representation learning using multiple social contexts | 213 |
 eilene/gwnn | A TensorFlow implementation of a graph convolution algorithm using wavelet transforms instead of traditional methods. | 64 |
| benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 74 |