GraphGPT: An Intent-Based Management System for Next Generation Networks

The growth of telecommunication networks towards 6 G, owing to the complexity and heterogeneity, mandates a paradigm shift in network management. Due to the nature of the traditional Policy-based Management and Control (PBMC), aspects of network management have to be well thought out during the design phase making the system inflexible. Artificial Intelligence (AI) is expected to augment PBMC by introducing run-time flexibility and adaptability. The use of AI becomes more pressing, when 6 G systems are considered to host more diverse technologies catering to specific use cases thus increasing the burden on operators. This article presents “GraphGPT”, a transformer-based Knowledge Graph (KG) reasoning model prepared using light-weight and tailored datasets for 6 G. The implementation and evaluation details present the first look of the model.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1109/netsoft64993.2025.11080567
Citations
2
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
2.97

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article

GraphGPT: An Intent-Based Management System for Next Generation Networks

Marius Corici, Florian Schreiner, Thomas Magedanz, A.L.N. Rao et al.
2 citations
Distributed and Parallel Computing Systems
2.97
article

GraphGPT: An Intent-Based Management System for Next Generation Networks

Marius Corici, Florian Schreiner, Thomas Magedanz, A.L.N. Rao, Varun Gowtham, Sindhura Shivaprasad
article en
2 citations

Abstract

The growth of telecommunication networks towards 6 G, owing to the complexity and heterogeneity, mandates a paradigm shift in network management. Due to the nature of the traditional Policy-based Management and Control (PBMC), aspects of network management have to be well thought out during the design phase making the system inflexible. Artificial Intelligence (AI) is expected to augment PBMC by introducing run-time flexibility and adaptability. The use of AI becomes more pressing, when 6 G systems are considered to host more diverse technologies catering to specific use cases thus increasing the burden on operators. This article presents “GraphGPT”, a transformer-based Knowledge Graph (KG) reasoning model prepared using light-weight and tailored datasets for 6 G. The implementation and evaluation details present the first look of the model.

Fraunhofer Institute for Open Communication Systems (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 8%
Distributed and Parallel Computing Systems
2.97
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GraphGPT: An Intent-Based Management System for Next Generation Networks — Marius Corici, Florian Schreiner, et al. · (2025) | TGRS Research Map | TGRS