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astgnn

This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

dstagnn

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

graphctr

This repo includes some graph-based CTR prediction models and other representative baselines.

hgcn

The code of AAAI2021 paper of HGCN for Traffic Forecasting

itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

markdown-resume-template

BAT程序员自己的简历模板分享出来了 。技术简历追求简单明了，避免没有必要的花哨修饰，大家可以fork到自己仓库中，基于这个模板进行修改。

mtgnn

scinet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

sdgl

The official implementation of SDGL

stgode

Spatial-Temporal Graph ODE Neural Network

stwave

[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

team-learning-data-mining

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。