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1.5 參考文獻

[1] Zhang G,He H,Katabi D.Circuit-GNN:Graph Neural Networks for Distributed Circuit Design[C]//International Conference on Machine Learning.2019:7364-7373.

[2] F.R.Chung.Spectral Graph Theory.American Mathematical Society,1997.

[3] Von Luxburg U.A tutorial on spectral clustering[J].Statistics and computing,2007,17(4):395-416.

[4] Koller D,Friedman N,D?eroski S,et al.Introduction to statistical relational learning[M].MIT press,2007.

[5] Shi C,Li Y,Zhang J,et al.A survey of heterogeneous information network analysis[J].IEEE Transactions on Knowledge and Data Engineering,2016,29(1):17-37.

[6] Cui P,Wang X,Pei J,et al.A survey on network embedding[J].IEEE Transactions on Knowledge and Data Engineering,2018,31(5):833-852.

[7] Shuman D I,Narang S K,Frossard P,et al.The emerging field of signal processing on graphs:Extending high-dimensional data analysis to networks and other irregular domains[J].IEEE signal processing magazine,2013,30(3):83-98.

[8] Zhou J,Cui G,Zhang Z,et al.Graph neural networks:A review of methods and applications[J].arXiv preprint arXiv:1812.08434,2018.

[9] Zhang Z,Cui P,Zhu W.Deep learning on graphs:A survey[J].arXiv preprint arXiv:1812.04202,2018.

[10] Wu Z,Pan S,Chen F,et al.A comprehensive survey on graph neural networks[J].arXiv preprint arXiv:1901.00596,2019.

[11] Gori M,Monfardini G,Scarselli F.A new model for learning in graph domains[C]//Proceedings.2005 IEEE International Joint Conference on Neural Networks,2005.IEEE,2005,2:729-734.

[12] Micheli A.Neural network for graphs:A contextual constructive approach[J].IEEE Transactions on Neural Networks,2009,20(3):498-511.

[13] Scarselli F,Gori M,Tsoi A C,et al.The graph neural network model[J].IEEE Transactions on Neural Networks,2008,20(1):61-80.

[14] Bruna J,Zaremba W,Szlam A,et al.Spectral networks and locally connected networks on graphs[J].arXiv preprint arXiv:1312.6203,2013.

[15] Kipf T N,Welling M.Semi-supervised classification with graph convolutional networks[J].arXiv preprint arXiv:1609.02907,2016.

[16] Hamilton W,Ying Z,Leskovec J.Inductive representation learning on large graphs[C]//Advances in Neural Information Processing Systems.2017:1024-1034.

[17] Veli?kovi?P,Cucurull G,Casanova A,et al.Graph attention networks[J].arXiv preprint arXiv:1710.10903,2017.

[18] Gilmer J,Schoenholz S S,Riley P F,et al.Neural message passing for quantum chemistry[C]//Proceedings of the 34th International Conference on Machine Learning-Volume 70.JMLR.org,2017:1263-1272.

[19] Johnson J,Gupta A,Fei-Fei L.Image generation from scene graphs[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2018:1219-1228.

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