SEAL-CI

Graph classifier

A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data.

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

GitHub

208 stars
10 watching
43 forks
Language: Python
last commit: about 2 years ago
Linked from 2 awesome lists

active-learningactive-learning-moduledeep-learningdeep-learning-algorithmsdeepwalkgcngnngraph-classificationgraph-convolutiongraph-convolutional-networksgraph-embeddinggraph-neural-networkgraph-neural-networksgraph-representation-learningmachine-learning-algorithmsnetwork-embeddingnode-classificationnode2vecpytorchtensorflow

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
benedekrozemberczki/gam An implementation of a graph classification model using structural attention and PyTorch 268
benedekrozemberczki/sgcn An implementation of a deep learning algorithm for graph data 268
benedekrozemberczki/capsgnn A PyTorch implementation of a graph neural network architecture 1,246
benedekrozemberczki/appnp A PyTorch implementation of a graph neural network model that learns personalized node representations 363
benedekrozemberczki/clustergcn A PyTorch implementation of a clustering algorithm for graph neural networks 787
benedekrozemberczki/pdn An implementation of a neural network architecture designed to process graph-structured data 57
benedekrozemberczki/splitter A PyTorch implementation of node representation learning using multiple social contexts 213
benedekrozemberczki/graphwaveletneuralnetwork An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. 574
benedekrozemberczki/graph2vec This implementation provides a parallel method for graph representations using distributed learning techniques. 902
benedekrozemberczki/walklets An implementation of an algorithm for learning graph representations from network data 105
felixgwu/img_classification_pk_pytorch A PyTorch project for comparing image classification models and facilitating quick experiment setup 365
benedekrozemberczki/mixhop-and-n-gcn A deep learning framework implementation of higher-order graph convolutional architectures and their applications 402
benedekrozemberczki/attentionwalk An implementation of a deep learning algorithm to generate node embeddings in graphs 320
benedekrozemberczki/karateclub A Python framework for unsupervised learning on graph data using various network embedding and community detection techniques 2,167
gasteigerjo/ppnp This project provides implementations of graph neural network models for personalized page rank task 319