GraphGym
Graph model simulator
A platform for designing and evaluating Graph Neural Networks (GNN) models
Platform for designing and evaluating Graph Neural Networks (GNN)
2k stars
24 watching
186 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
| snap-stanford/distance-encoding | A deep learning framework designed to improve the performance of Graph Neural Networks (GNNs) through distance encoding techniques. | 184 |
| snap-stanford/snap | A general purpose network analysis and graph mining library for large networks | 2,201 |
 benedekrozemberczki/simgnn | An implementation of SimGNN, a neural network approach to computing graph similarity | 768 |
 datake/adagcn | An implementation of an AdaGCN model that adapts Graph Convolutional Networks to deep models for graph neural networks tasks. | 60 |
 tensorflow/gnn | Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. | 1,372 |
| benedekrozemberczki/appnp | A PyTorch implementation of a graph neural network model that learns personalized node representations | 367 |
 thomasp85/ggraph | A grammar of graphics for relational data structures, extending ggplot2 to support network and graph visualization. | 1,080 |
 deepgraphlearning/gmnn | A software framework that integrates statistical relational learning and graph neural networks for semi-supervised object classification and unsupervised node representation learning. | 403 |
 zhangxiann/skip-gram | A Python implementation of a neural network model for learning word embeddings from text data | 6 |
 gasteigerjo/ppnp | Implementations of a graph neural network model for personalized graph classification | 321 |
 catkira/py3gpp | A Python package for simulating 5G-NR systems | 100 |
| benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 270 |
 nengo/nengo | A Python library for building and simulating large-scale neural models | 834 |
| snap-stanford/graphwave | An algorithm for learning structural signatures in complex networks using heat spectral wavelets | 171 |