1. Zuo Y, Fang Q, Qian S, Zhang X, Xu C. Representation learning of knowledge graphs with entity attributes and multimedia descriptions. In2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM) 2018;13(1-5). IEEE
2. Rudinac S, Chua TS, Diaz-Ferreyra N, Friedland G, Gornostaja T, Huet B, Kaptein R, Lindn K, Moens MF, Peltonen J, Redi M. Rethinking summarization and storytelling for modern social multimedia. In International Conference on Multimedia Modeling 2018;5 (632–644). Springer, Cham
3. Cao S, Lu W, Xu Q. Deep neural networks for learning graph representations. In Thirtieth AAAI conference on artificial intelligence 2016;21.
4. Battaglia PW, Hamrick JB, Bapst V, Sanchez-Gonzalez A, Zambaldi V, Malinowski M, Tacchetti A, Raposo D, Santoro A, Faulkner R, Gulcehre C. Relational inductive biases, deep learning, and graph networks. arXiv preprint arXiv:1806.01261. 2018;4.
5. Wang H. Time-variant graph learning and classification (Doctoral dissertation)