1. J. Bruna, W. Zaremba, A. Szlam, Y. Lecun, Spectral networks and locally connected networks on graphs, in: International Conference on Learning Representations, 2014, pp. 1–14.
2. D. Bo, C. Shi, L. Wang, R. Liao, Specformer: Spectral Graph Neural Networks Meet Transformers, in: The Eleventh International Conference on Learning Representations, 2022.
3. P. Veličković, G. Cucurull, A. Casanova, A. Romero, P. Liò, Y. Bengio, Graph Attention Networks, in: Proceedings of the International Conference on Learning Representations, 2018.
4. AST-GNN: An attention-based spatio-temporal graph neural network for interaction-aware pedestrian trajectory prediction;Zhou;Neurocomputing,2021
5. EGNN: Graph structure learning based on evolutionary computation helps more in graph neural networks;Liu;Appl. Soft Comput.,2023