1. Martin Arjovsky, Léon Bottou, Ishaan Gulrajani, and David Lopez-Paz. 2019. Invariant risk minimization. arXiv preprint arXiv:1907.02893 (2019).
2. Towards Open Set Deep Networks
3. Mucong Ding, Xiaoyu Liu, Tahseen Rabbani, Teresa Ranadive, Tai-Ching Tuan, and Furong Huang. 2022. Faster Hyperparameter Search for GNNs via Calibrated Dataset Condensation. arXiv (2022).
4. Kaituo Feng, Changsheng Li, Xiaolu Zhang, and Jun Zhou. 2023. Towards open temporal graph neural networks. International Conference on Learning Representations (2023).
5. Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, and Hongzhi Yin. 2024a. Graph Condensation for Inductive Node Representation Learning. In ICDE.