1. Chen, J., Fang, H.r., Saad, Y.: Fast approximate knn graph construction for high dimensional data via recursive lanczos bisection. J. Mach. Learn. Res. 10(9) (2009)
2. Chen, X., et al.: Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation. In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 765–774 (2019)
3. Chen, Y., Wu, L., Zaki, M.: Iterative deep graph learning for graph neural networks: Better and robust node embeddings. Adv. Neural. Inf. Process. Syst. 33, 19314–19326 (2020)
4. Franceschi, L., Niepert, M., Pontil, M., He, X.: Learning discrete structures for graph neural networks. In: International Conference on Machine Learning (2019)
5. Gutmann, M., Hyvärinen, A.: Noise-contrastive estimation: a new estimation principle for unnormalized statistical models. In: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pp. 297–304 (2010)