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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].

autoware.universe

deep-learning

Feature extraction of MNIST dataset, and clustering them using K-Means algorithm

dgae

Code for the paper "Dual-decoder graph autoencoder for unsupervised graph representation learning"

fc_mnist

use fcnet classify the mnist dataset

flying

gae

Implementation of Graph Auto-Encoders in TensorFlow

gae_kmeans

gae做embedding，kmeans 做聚类

gcn_lstm

gcn_mnist

han

Heterogeneous Graph Neural Network

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）

k-means-on-mnist

kgqa_hlm

基于知识图谱的《红楼梦》人物关系可视化及问答系统

kldivergence-python

KL散度python例子

kmeans_cora-feature-

lidashuangok.github.io

mnist_lenet

mnist with lenet5

opencv_makeup

rwr-gae

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

ssrline

Forked from shadowsocks/shadowsocks

tetris

俄罗斯方块小游戏

vgg_cifar10_pytorch

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite