Abstract: When determining grounding faults in distribution networks, only single point fault characteristics are used as the basis for localization, lacking correlation, resulting in low efficiency in output localization. Therefore, the design and research of a fast fault location method for distribution network grounding based on MST-GCN and dynamic graph attention mechanism are proposed. Define and describe the real-time fault status of the distribution network, and extract the transient time-domain characteristics of the fault through amplitude frequency fluctuations. MST-GCN is used to aggregate transient time-domain features, and based on the aggregated features and dynamic graph attention mechanism, the grounding fault points within the coverage area are associated and located, completing fundamental identification. Using Adam to optimize the identification target, correct the positioning deviation, and output the final positioning result. The experimental results show that the MST-GCN and dynamic graph attention mechanism for fast positioning of grounding faults in distribution networks have a delay of 0.2-0.3s for multiple sets of grounding fault positioning, significantly enhancing the overall efficiency and possessing superior performance and value.