1. Guo, Q., Zhuang, F., Qin, C., Zhu, H., Xie, X., Xiong, H., He, Q.: A survey on knowledge graph-based recommender systems. IEEE Transactions on Knowledge and Data Engineering (Early Access) (2020)
2. Xiong, H., Wang, S., Tang, M., Wang, L., Lin, X.: Knowledge graph question answering with semantic oriented fusion model. Knowl.-Based Syst. 221, 106954 (2021)
3. Ji, S., Pan, S., Cambria, E., Marttinen, P., Philip, S.Y.: A survey on knowledge graphs: Representation, acquisition, and applications. IEEE Trans. Neural Netw. Learn. Syst. 1–21 (2021)
4. Sun, Y., Wang, S., Feng, S., Ding, S., Pang, C., Shang, J., Liu, J., Chen, X., Zhao, Y., Lu, Y., Liu, W., Wu, Z., Gong, W., Liang, J., Shang, Z., Sun, P., Liu, W., Ouyang, X., Yu, D., Tian, H., Wu, H., Wang, H.: ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation (2021)
5. Hamilton, W. L., Ying, R., Leskovec, J.: Inductive representation learning on large graphs. In: Annual Conference on Neural Information Processing Systems (NeurIPS), pp. 1025–1035 (2017)