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English Information

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Authors
# Name
1 Eduardo Wittmann(eduardozw@usp.br)
2 Mirela Cazzolato(mtcazzolato@gmail.com)

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Reference
# Reference
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4 Diestel, R. (2017). Graph Theory. Springer Berlin Heidelberg. DOI: 10.1007/978-3-662-53622-3.
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6 Hatıpoglu, I. and Tosun, Ö. (2024). Predictive modeling of flight delays at an airport using machine learning methods. Applied Sciences, 14(13):5472. DOI: 10.3390/app14135472.
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12 Rossi, E., Chamberlain, B., Frasca, F., Eynard, D., Monti, F., and Bronstein, M. M. (2020). Temporal graph networks for deep learning on dynamic graphs. CoRR, abs/2006.10637. URL: https://arxiv.org/abs/2006.10637.
13 Sun, Y. and Han, J. (2013). Mining heterogeneous information networks: a structural analysis approach. SIGKDD Explor. Newsl., 14(2):20–28. DOI: 10.1145/2481244.2481248.
14 Velickovic, P., Cucurull, G., Casanova, A., Romero, A., Li`o, P., and Bengio, Y. (2018). Graph attention networks. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings. URL: https://openreview.net/forum?id=rJXMpikCZ.
15 Wu, Y., Yang, H., Lin, Y., and Liu, H. (2024). Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction. IEEE Transactions on Knowledge & Data Engineering, 36(01):386–400. DOI: 10.1109/TKDE.2023.3286690.
16 Zanin, M. and Lillo, F. (2013). Modelling the air transport with complex networks: A short review. The European Physical Journal Special Topics, 215(1):5–21. DOI: 10.1140/epjst/e2013-01711-9.
17 Zhou, J., Cui, G., Hu, S., Zhang, Z., Yang, C., Liu, Z., Wang, L., Li, C., and Sun, M. (2020). Graph neural networks: A review of methods and applications. AI Open, 1:57–81. DOI: 10.1016/j.aiopen.2021.01.001.