Pinned Repositories
A2AE
Code for the paper "A2AE: Towards adaptive multi-view graph representation learning via all-to-all graph autoencoder architecture"
ARGA
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). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
DGAE
Code for the paper "Dual-decoder graph autoencoder for unsupervised graph representation learning"
gae_kmeans
gae做embedding，kmeans 做聚类
gcn_lstm
gcn_mnist
k-means-on-mnist
KLDivergence-Python
KL散度python例子
Kmeans_cora-feature-
opencv_makeup
lidashuangok's Repositories
lidashuangok/gcn_mnist
lidashuangok/DGAE
Code for the paper "Dual-decoder graph autoencoder for unsupervised graph representation learning"
lidashuangok/A2AE
Code for the paper "A2AE: Towards adaptive multi-view graph representation learning via all-to-all graph autoencoder architecture"
lidashuangok/gae_kmeans
gae做embedding，kmeans 做聚类
lidashuangok/gcn_lstm
lidashuangok/KLDivergence-Python
KL散度python例子
lidashuangok/Kmeans_cora-feature-
lidashuangok/opencv_makeup
lidashuangok/ARGA
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). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
lidashuangok/autoware.universe
lidashuangok/k-means-on-mnist
lidashuangok/Deep-learning
Feature extraction of MNIST dataset, and clustering them using K-Means algorithm
lidashuangok/fc_mnist
use fcnet classify the mnist dataset
lidashuangok/flying
lidashuangok/gae
Implementation of Graph Auto-Encoders in TensorFlow
lidashuangok/HAN
Heterogeneous Graph Neural Network
lidashuangok/IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
lidashuangok/KGQA_HLM
基于知识图谱的《红楼梦》人物关系可视化及问答系统
lidashuangok/lidashuangok.github.io
lidashuangok/mnist_lenet
mnist with lenet5
lidashuangok/RWR-GAE
Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
lidashuangok/SSRLINE
Forked from shadowsocks/shadowsocks
lidashuangok/Tetris
俄罗斯方块小游戏
lidashuangok/vgg_cifar10_pytorch
lidashuangok/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite