1. Deep gaussian embedding of graphs: Unsupervised inductive learning via ranking;Bojchevski,2017
2. Bojchevski, A., & Günnemann, S. (2018). Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking. In International conference on learning representations (pp. 1–13).
3. Net2net: Accelerating learning via knowledge transfer;Chen,2015
4. Traffic forecasting with graph spatial–temporal position recurrent network;Chen;Neural Networks,2023
5. PDE-GCN: novel architectures for graph neural networks motivated by partial differential equations;Eliasof;Advances in Neural Information Processing Systems,2021