基于知识图谱的《红楼梦》人物关系可视化及问答系统

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Collections of Apollo Platform Software

异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

Representation learning on dynamic graphs using self-attention networks

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019

Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adve…

WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

Methods and Implements of Deep Clustering

Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"

This repository implements variational graph auto encoder by Thomas Kipf.

a simple vae and cvae from keras

Implementation of Graph Auto-Encoders in TensorFlow

Must-read papers on graph neural networks (GNN)

Graph Convolutional Networks in PyTorch

Heterogeneous Graph Neural Network

Representation-Learning-on-Heterogeneous-Graph

A comprehensive collection of recent papers on graph deep learning

95.47% on CIFAR10 with PyTorch