Heterogeneous graph neural network with semantic-aware differential privacy guarantees

Author:

Wei Yuecen,Fu Xingcheng,Yan Dongqi,Sun Qingyun,Peng Hao,Wu Jia,Wang Jinyan,Li Xianxian

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference49 articles.

1. He Y, Song Y, Li J, Ji C, Peng J, Peng H (2019) Hetespaceywalk: a heterogeneous spacey random walk for heterogeneous information network embedding. In: Proceedings of the 28th ACM international conference on information and knowledge management, CIKM 2019, Beijing, China, ACM 3–7 Nov 2019, pp 639–648

2. Dong Y, Hu Z, Wang K, Sun Y, Tang J (2020) Heterogeneous network representation learning. In: Proceedings of the twenty-ninth international joint conference on artificial intelligence, IJCAI 2020, pp 4861–4867

3. Gong J, Wang S, Wang J, Feng W, Peng H, Tang J, Yu PS (2020) Attentional graph convolutional networks for knowledge concept recommendation in moocs in a heterogeneous view. In: Proceedings of the 43rd international ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, ACM, 25–30 July 2020, pp 79–88

4. Chen C, Ma W, Zhang M, Wang Z, He X, Wang C, Liu Y, Ma S (2021) Graph heterogeneous multi-relational recommendation. In: Thirty-fifth AAAI conference on artificial intelligence, AAAI 2021, thirty-third conference on innovative applications of artificial intelligence, IAAI 2021. The eleventh symposium on educational advances in artificial intelligence, EAAI 2021, Virtual Event, 2-9 Feb 2021. AAAI Press, pp 3958–3966

5. Sun Q, Li J, Peng H, Wu J, Ning Y, Yu PS, He L (2021) SUGAR: subgraph neural network with reinforcement pooling and self-supervised mutual information mechanism. In: WWW’21: the web conference 2021, virtual event/Ljubljana, Slovenia, 19–23 April 2021, ACM/IW3C2. pp 2081–2091

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