The following publications are possibly variants of this publication:
- Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation LearningMing Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong 0002, Chuan Zhou 0001, Shirui Pan. IJCAI 2021: 1477-1483 [doi]
- Deep Learning for Security Problems in 5G Heterogeneous NetworksZhihan Lv, Amit Kumar Singh 0001, Jinhua Li. network, 35(2):67-73, 2021. [doi]
- Optimization Design for Federated Learning in Heterogeneous 6G NetworksBing Luo, Pengchao Han, Peng Sun, Xiaomin Ouyang, Jianwei Huang 0001, Ningning Ding. network, 37(2):38-43, March / April 2023. [doi]
- Advanced Network Representation Learning for Container Shipping Network AnalysisLiupeng Jiang, Lei Chen, Wei Wang 0206, Wei Wei 0006, Zhihan Lv, Heng Wang 0004. network, 35(2):182-187, 2021. [doi]
- Self-addressable memory-based FSM: a scalable intrusion detection engineBenfano Soewito, Lucas Vespa, Atul Mahajan, Ning Weng, Haibo Wang. network, 23(1):14-21, 2009. [doi]
- Self-organization in disaster-resilient heterogeneous small cell networksHaijun Zhang, Chunxiao Jiang, Rose Qingyang Hu, Yi Qian. network, 30(2):116-121, 2016. [doi]
- A Tensor-Based Big-Data-Driven Routing Recommendation Approach for Heterogeneous NetworksXiaokang Wang, Laurence T. Yang, Liwei Kuang, Xingang Liu, QingXia Zhang, M. Jamal Deen. network, 33(1):64-69, 2018. [doi]
- Ultra-Dense Heterogeneous Networks with Full-Duplex Small Cell Base StationsGuanding Yu, Zihan Zhang, Fengzhong Qu, Geoffrey Ye Li. network, 31(6):108-114, 2017. [doi]