1. Simon, B., et al.: Learning social network embeddings for predicting information diffusion. In: Proceedings of the 7th ACM International Conference on Web Search and Data Mining (2014)
2. Chen, T., et al.: Uniting heterogeneity, inductiveness, and efficiency for graph representation learning. IEEE Trans. Knowledge Data Eng. 35.2, 2103–2117 (2021)
3. Chen, B., et al.: General partial label learning via dual bipartite graph autoencoder. In: Proceedings of the AAAI Conference on artificial intelligence, vol. 34, no. 07 (2020)
4. Hang, G., et al.: Bootstrapping informative graph augmentation via A meta learning approach. arXiv preprint arXiv:2201.03812 (2022)
5. Hüllermeier, E., Beringer, J.: Learning from ambiguously labeled examples. Intell. Data Anal. 10(5), 419–439 (2006)