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).
363 stars
9 watching
49 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
bharathgs/awesome-pytorch-list
chihming/awesome-network-embeddingRelated 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 | 57 |
| benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 268 |
 dawnranger/pytorch-agnn | An implementation of an attention-based graph neural network in PyTorch for semi-supervised learning | 145 |
| benedekrozemberczki/graphwaveletneuralnetwork | An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. | 574 |
| benedekrozemberczki/seal-ci | A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. | 208 |
| benedekrozemberczki/clustergcn | A PyTorch implementation of a clustering algorithm for graph neural networks | 787 |
 gasteigerjo/ppnp | This project provides implementations of graph neural network models for personalized page rank task | 319 |
| benedekrozemberczki/simgnn | An implementation of SimGNN, a neural network approach to computing graph similarity | 759 |
| benedekrozemberczki/gam | An implementation of a graph classification model using structural attention and PyTorch | 268 |
| 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 | 2,677 |
| benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 320 |
| benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 402 |
 kimhc6028/relational-networks | A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 812 |