Stars
A curated list of network embedding techniques.
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
LINE: Large-scale information network embedding
A computer algebra system written in pure Python
official implementation for the paper "Simplifying Graph Convolutional Networks"
Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."
Learning Algebraic Multigrid Using Graph Neural Networks
Algebric Multigrid Solver for Directed Graph Laplacian Systems
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
This is official Pytorch implementation of "Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks", Raghavendra Selvan et al. 2020
Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper
Cut and paste your surroundings using AR
Deep Neural Networks Based Approaches for Graph Embeddings
A tutorial on Graph Convolutional Neural Networks
Keras implementation of Graph Convolutional Networks
Implementation of Graph Convolutional Networks in TensorFlow
Hunt down social media accounts by username across social networks
An OpenSource python package for the analysis of time series data on networks using higher-order and multi-order graphical models.