When transmitting laser communication network services, there is usually a communication load imbalance due to multi priority services. Therefore, to address this issue, dynamic routing optimization for multi priority service load balancing in laser communication networks is proposed. This method first requires the development of a priority queuing strategy for services based on the laser communication network, and the hierarchical division of services transmitted within the network to ensure priority processing of critical tasks. Utilizing graph convolutional networks to construct a link bandwidth occupancy prediction model, the prediction results will be fused with innovative triangular modal operators to generate a comprehensive path evaluation index - path selection degree. This indicator serves as the core basis to guide communication networks in selecting the optimal path during business transmission, achieving an efficient and short path communication routing strategy, thereby optimizing network performance; Finally, after completing the routing selection in the laser communication network, the bandwidth allocation method is used to allocate network bandwidth based on business priority order, achieving network load balancing and dynamic routing optimization in the communication network. The experimental results show that using this method for dynamic routing optimization of communication network load balancing has good effects and high performance.