APPNP
Graph Neural Network Model
A PyTorch implementation of a graph neural network model that learns personalized node representations
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
367 stars
9 watching
50 forks
Language: Python
last commit: about 2 years ago
Linked from 2 awesome lists
appnpattentiondeep-learningdeep-neural-networksdeepwalkgcngraph-attentiongraph-classificationgraph-convolutional-neural-networksgraph-embeddinggraph-neural-networkiclrmachine-learningnetwork-embeddingnode-embeddingnode2vecpagerankppnppytorchresearch
Related projects:
Repository | Description | Stars |
---|---|---|
benedekrozemberczki/capsgnn | A PyTorch implementation of a graph neural network architecture | 1,246 |
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 |
dawnranger/pytorch-agnn | An implementation of an attention-based graph neural network in PyTorch for semi-supervised learning | 146 |
benedekrozemberczki/graphwaveletneuralnetwork | An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. | 577 |
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/clustergcn | A PyTorch implementation of a clustering algorithm for graph neural networks | 788 |
gasteigerjo/ppnp | Implementations of a graph neural network model for personalized graph classification | 321 |
benedekrozemberczki/simgnn | An implementation of SimGNN, a neural network approach to computing graph similarity | 768 |
benedekrozemberczki/gam | An implementation of a graph classification model using structural attention and PyTorch | 270 |
benedekrozemberczki/splitter | A PyTorch implementation of node representation learning using multiple social contexts | 213 |
benedekrozemberczki/pytorch_geometric_temporal | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,694 |
benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 |
benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 403 |
kimhc6028/relational-networks | A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 809 |