1. 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.
2. Amir Hosein Khas Ahmadi. 2020. Memory-based graph networks. Ph.,D. Dissertation. University of Toronto (Canada).
3. Selahattin Akkas and Ariful Azad. 2022. JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning. In Companion Proceedings of the Web Conference 2022. 1099--1105.
4. Beyond Low-frequency Information in Graph Convolutional Networks
5. Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. 2013. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203 (2013).