Accompanied repositories for our paper Graph foundation model

⏰ AI conference deadline countdowns

Implementation of Graph Convolutional Networks in TensorFlow

A TensorFlow implementation of GraphHeat

A pytorch implementation of LCGNN

Acceptance rates for the major AI conferences

AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning

Must-read papers on graph neural networks (GNN)

Deep Learning for Spatio-Temporal Data

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

A TensorFlow implementation of Graph Wavelet Neural Network

Including several social-media-computing tools.

This will contain my notes for research papers that I read.

Graph Signal Processing in Python

Graph Signal Processing in Matlab

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

links to conference publications in graph-based deep learning

Graph convolutional recurrent neural network

Keras implementation of Graph Convolutional Networks

🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.

中文古诗自动作诗机器人，x炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

一个五子棋人机对战AI，界面用pygame，方法用minmax搜索

遗传算法，帮别人实现的，多个变量，最小化问题

课堂作业，用svm实现垃圾短信分类，其中svm需要自己实现，特征直接取了word2vec后的词向量

用python实现了隐马尔科夫模型的概率计算和预测部分，主要是前向后向算法和维特比算法

写的一些小程序，不便归类，都放在这儿保存,包括apriori和bandit中几种explore和exploit均衡的方法等小程序