1. Chen, J., Wang, X., Xu, X.: Gc-lstm: graph convolution embedded lstm for dynamic link prediction. arXiv preprint arXiv:1812.04206 (2018)
2. Cho, K., Van Merriënboer, B., Bahdanau, D., Bengio, Y.: On the properties of neural machine translation: encoder-decoder approaches. arXiv preprint arXiv:1409.1259 (2014)
3. Gallicchio, C., Micheli, A., Pedrelli, L.: Deep reservoir computing: a critical experimental analysis. Neurocomputing 268, 87–99 (2017)
4. Gärtner, T., Flach, P., Wrobel, S.: Graph kernels for chemical informatics. In: Proceedings of the 16th International Conference on Neural Information Processing Systems, pp. 505–512. MIT Press (2003)
5. Guo, S., Lin, Y., Feng, N., Song, C., Wan, H.: Attention based spatial-temporal graph convolutional networks for traffic flow forecasting. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 922–929 (2019)