[3] [3] BAO B, YANG H, YAO Q, et al. SDFA: a service-driven fragmentation-aware resource allocation in elastic optical networks[J]. IEEE Transactions on Network and Service Management, 2021, 19（1）: 353-365.

[4] [4] ZHAO J, BAO B, YANG H, et al. Holding-time-and impairment-aware shared spectrum allocation in mixed-line-rate elastic optical networks [J]. Journal of Optical Communications and Networking, 2019，11（6）: 322-332.

[5] [5] BAO B, YANG H, YAO Q, et al. Resource allocation with edge-cloud collaborative traffic prediction in integrated radio and optical networks[J]. IEEE Access, 2023, 11: 7067-7077.

[6] [6] YU T, YANG H, YAO Q, et al. Multi visual GRU based survivable computing power scheduling in metro optical networks[J]. IEEE Transactions on Network and Service Management, 2024，21（1）：1302-1315.

[7] [7] BHATTI U A, TANG H, WU G, et al. Deep learning with graph convolutional networks: An overview and latest applications in computational intelligence[J]. International Journal of Intelligent Systems, 2023（3）：1-28.

[8] [8] ULLAH I, MANZO M, SHAH M, et al. Graph convolutional networks: analysis, improvements and results[J]. Applied Intelligence, 2022, 52：1-12.

[9] [9] HADI M, PAKRAVAN M R, AGRELL E. Dynamic resource allocation in metro elastic optical networks using Lyapunov drift optimization [J]. Journal of Optical Communications and Networking, 2019，11（6）: 250-259.