KGDA

KGDA: A Knowledge Graph-based Decomposition Approach for Cellular Traffic Prediction

just accepted by IEEE TIST

This repository is the official PyTorch implementation for the paper: KGDA: A Knowledge Graph-based Decomposition Approach for Cellular Traffic Prediction

Framework

Installation

Environment

• dgl==2.2.1
• dgl_cu102==0.8.1
• matplotlib==3.6.2
• numpy==1.21.2
• pandas==1.4.2
• scikit_learn==1.5.0
• scipy==1.8.0
• torch==1.10.0

License

The software in this repository is freely available under MIT license.