Jiawei Jiang's starred repositories
Recsys-Challenge-2023
[ACM Resys Challenge 2023] 6th place solution of Online Ad Installation Forecasting in ACM Resys Challenge 2023
BUAAthesis
北航毕设论文LaTeX模板
2022-ByteDance-AI4CODE-Rank3-Solution
2022字节跳动技术公益创新杯-用户浏览短视频兴趣预测Rank3方案
Recommender-Systems-Competition-TopSolutions
推荐系统竞赛TOP开源解决方案汇总。
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
CoST_Paddle
A PaddlePaddle implementation of CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting.
Awesome-Spatio-Temporal-Representation-Learning
Summary of Spatio-Temporal Representation Learning Models.
CCF-BDCI-Homecoming-Forecast
CCF-BDCI-2022 返乡发展人群预测
iFLYTEK-Traffic-Flow-Challenge
2022年讯飞开发者大赛-考虑时空依赖及全局要素的城市道路交通流量预测挑战赛-Top3解决方案
KDDCUP2022
[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
Bigscity-LibCity-WebTool
LibCity Experiment Management and Visualization Web Tool
Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Awesome-Graph-Contrastive-Learning
A collection of graph contrastive learning methods.
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
Spatio-Temporal-Data-Mining-Survey
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
CCF_BDCI_2020_DIDI_rank1_solution
2020 CCF BDCI 线上第一 解决方案代码
NYC-Dataset
Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data
BUAA_BigData
北航2019秋 大数据科学导论小作业