MixHop-and-N-GCN
Graph CNN
A deep learning framework implementation of higher-order graph convolutional architectures and their applications
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
403 stars
15 watching
55 forks
Language: Python
last commit: over 2 years ago
Linked from 2 awesome lists
convolutionalconvolutional-layersconvolutional-neural-networksdeep-learningdeepwalkgcngraph-attentiongraph-attention-networksgraph-convolutiongraph-representation-learningmachine-learningmixhopmulti-scalengcnnode2vecpytorchpytorch-cnntensorflowwalkletwalklets
Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of a deep learning algorithm for graph data | 270 |
| A PyTorch implementation of a clustering algorithm for graph neural networks | 788 |
| A PyTorch implementation of a graph neural network architecture | 1,246 |
| An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. | 577 |
| A PyTorch implementation of a graph neural network model that learns personalized node representations | 367 |
| An implementation of SimGNN, a neural network approach to computing graph similarity | 768 |
| An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 |
| A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. | 209 |
| An implementation of a graph classification model using structural attention and PyTorch | 270 |
| An implementation of an algorithm for learning graph representations from network data | 106 |
| A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,694 |
| An implementation of convolutional neural networks on graphs using spectral filtering | 1,342 |
| An implementation of a neural network architecture designed to process graph-structured data | 58 |
| An implementation of learnable graph convolutional networks for efficient graph processing | 46 |
| A Python framework for unsupervised learning on graph data using various network embedding and community detection techniques | 2,178 |