1. Mohammad Sadegh Akhondzadeh, Vijay Lingam, and Aleksandar Bojchevski. 2023. Probing Graph Representations. In International Conference on Artificial Intelligence and Statistics. PMLR, 11630--11649.
2. DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
3. Guillaume Alain and Yoshua Bengio. 2017. Understanding intermediate layers using linear classifier probes. https://openreview.net/forum?id=ryF7rTqgl
4. Shortest-Path Kernels on Graphs
5. Giorgos Bouritsas, Fabrizio Frasca, Stefanos P Zafeiriou, and Michael Bronstein. 2022. Improving graph neural network expressivity via subgraph isomorphism counting. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).