Stars
📚 Freely available programming books
No fortress, purely open ground. OpenManus is Coming.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.
[SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'
Source code of Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks
CDRF (Call Detail Record Forecasting): A multitask learning architecture using deep learning networks for mobile traffic forecasting
Graph Convolutional Adversarial Networks for Spatio-Temporal Anomaly Detection