Beast code in Giters

lidashuangok's repositories

A2AE

Code for the paper "A2AE: Towards adaptive multi-view graph representation learning via all-to-all graph autoencoder architecture"

Language:Python100

DGAE

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

Language:Python100

gae_kmeans

gae做embedding，kmeans 做聚类

Language:Python100

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].

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autoware.universe

Language:C++Apache-2.0000

k-means-on-mnist

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Deep-learning

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

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fc_mnist

use fcnet classify the mnist dataset

Language:Python000

flying

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gae

Implementation of Graph Auto-Encoders in TensorFlow

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HAN

Heterogeneous Graph Neural Network

Language:Python010

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）

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