Gowtham, VarunVarunGowthamSchreiner, FlorianFlorianSchreinerRao, AlqamaAlqamaRaoShivaprasad, SindhuraSindhuraShivaprasadCorici, Marius-IulianMarius-IulianCoriciMagedanz, ThomasThomasMagedanz2025-07-282025-07-282025-06-23https://publica.fraunhofer.de/handle/publica/49003610.1109/NetSoft64993.2025.11080567The 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.en6GNetwork ManagementNEMAIconference paper