Stars
Graph Neural Network Library for PyTorch
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
Legado 3.0 Book Reader with powerful controls & full functions❤️阅读3.0, 阅读是一款可以自定义来源阅读网络内容的工具，为广大网络文学爱好者提供一种方便、快捷舒适的试读体验。
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval
It's a experiment that applying the graph convolution neural network for hyperspectral image classification
[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
Graph Convolutional Networks for 4-class EEG Classification
PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."
Pytorch implementation of "Graph Convolutional Networks for Text Classification"
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
《深入浅出图神经网络：GNN原理解析》配套代码
GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Evolutionary algorithm toolbox and framework with high performance for Python
🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合