SDGNet: A Handover-Aware Spatiotemporal Graph Neural Network for Mobile Traffic Forecasting

Author:

Fang Yini1,Ergut Salih2,Patras Paul1ORCID

Affiliation:

1. School of Informatics, University of Edinburgh, Edinburgh, U.K

2. OREDATA, Esenler, Turkey

Funder

Cisco through the Cisco University Research Program Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Reference21 articles.

1. Multi-view spectral graph convolution with consistent edge attention for molecular modeling

2. Semi-supervised classification with graph convolutional networks;kipf;Proc ICLR,2017

3. Diffusion convolutional recurrent neural network: Data-driven traffic forecasting;li;Proc ICLR,2018

4. Graph WaveNet for Deep Spatial-Temporal Graph Modeling

5. Language modeling with gated convolutional networks;dauphin;Proc ICML,2017

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3. Grid Construction of 5G Beam-Space via Matrix Completion and Principal Component Analysis;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

4. Deep Learning for Network Traffic Prediction: An Overview;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14

5. Handover Forecasting in Cellular Networks: A Spatio-temporal Graph Neural Network Approach;2023 14th International Conference on Network of the Future (NoF);2023-10-04

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