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aastgcn-for-stock-prediction

Code and Data for ECMLPKDD2021 : Attention Based Adaptive Spatial-Temporal Graph Convolutional Networks for Stock Forecasting

astgcn

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

c-plus-plus

All Algorithms implemented in C++

chatbox

Sending and receiving of messages between two systems that are connected under the same WiFi network (updates on progress).

citycases

COVID-19 cases by city, as reported by the Florida Department of Health

covid-us-spatiotemporal

A comprehensive spatial dataset combining neighborhood, mobility and infection data

covid19-philadelphia

De-identified, aggregate datasets showing COVID-19 cases, hospitalizations, deaths and vaccinations by date, zip, or age/sex/race as made available by the City of Philadelphia through its Open Data Program.

covid19usflows-dailyflows

covid19usflows-dailyflows-ct2020-1

covid19usflows-dailyflows-ct2020-2

covid19usflows-dailyflows-ct2020-3

covid19usflows-dailyflows-ct2021

csc111finalproj

Encrypted Chat box

data-stucture

Reference Book:Data Structures,Algorithms and Applications in C++ by Sahni

deeper_insights_into_gcns

Deeper insights into graph convolutional networks for semi-supervised learning

florida_cities_population

florida_cities_population project is based on web. I used BeautifulSoup Python library for getting data from 'https://www.florida-demographics.com/cities_by_population'.

geocode-excel

Convert addresses to lat-longs (and vice versa) in Excel

geopy

Geocoding library for Python.

gnn-for-stock-movement-prediction

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

gnn_spatial

The repository is the PyTorch implementation of GCN ant its variants, Graph Attention Networks for spatial information extraction from traffic flow data(PeMS04, METR_LA).

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

iil

internetsecurityattacks

Contains SEED Labs solutions from Internet Security course by Kevin Du.

meta-learning-lstm-pytorch

pytorch implementation of Optimization as a Model for Few-shot Learning

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

openclassroomproject

pandemic_tgnn

practice-in-paddle

《神经网络与深度学习》案例与实践

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-meta-optimizer

A PyTorch implementation of Learning to learn by gradient descent by gradient descent