1. Ralph Abboud, Radoslav Dimitrov, and Ismail Ilkan Ceylan. 2022. Shortest path networks for graph property prediction. In Learning on Graphs Conference. PMLR, 5--1.
2. Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, and Aram Galstyan. 2019. Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing. In international conference on machine learning. PMLR, 21--29.
3. Md Atik Ahamed and Qiang Cheng. 2024. MambaTab: A Simple Yet Effective Approach for Handling Tabular Data. arXiv preprint arXiv:2401.08867 (2024).
4. Uri Alon and Eran Yahav. 2021. On the Bottleneck of Graph Neural Networks and its Practical Implications. In International Conference on Learning Representations. https://openreview.net/forum?id=i80OPhOCVH2
5. Masanao Aoki. 2013. State space modeling of time series. Springer Science & Business Media.