Author:
Peng Hao,Li Jianxin,Yan Hao,Gong Qiran,Wang Senzhang,Liu Lin,Wang Lihong,Ren Xiang
Publisher
Springer Science and Business Media LLC
Reference47 articles.
1. Hamilton W L, Ying R, Leskovec J. Representation learning on graphs: methods and applications. In: Proceedings of IEEE Data Engineering Bulletin, 2017
2. Cavallari S, Zheng V W, Cai H Y, et al. Learning community embedding with community detection and node embedding on graphs. In: Proceedings of ACM International Conference on Information and Knowledge Management, 2017. 377–386
3. Shi C, Hu B B, Zhao W X, et al. Heterogeneous information network embedding for recommendation. IEEE Trans Knowl Data Eng, 2019, 31: 357–370
4. Hu R J, Aggarwal C C, Ma S, et al. An embedding approach to anomaly detection. In: Proceedings of 2016 IEEE 32nd International Conference on Data Engineering (ICDE), Helsinki, 2016. 385–396
5. Grover A, Leskovec J. node2vec: scalable feature learning for networks. In: Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2016. 855–864
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