Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach

Author:

Zhao Zicheng,Luo Linhao,Pan Shirui,Nguyen Quoc Viet Hung,Gong Chen

Publisher

Springer Nature Switzerland

Reference57 articles.

1. Baek, J., Lee, D.B., Hwang, S.J.: Learning to extrapolate knowledge: transductive few-shot out-of-graph link prediction. Adv. Neural. Inf. Process. Syst. 33, 546–560 (2020)

2. Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., Yakhnenko, O.: Translating embeddings for modeling multi-relational data. In: Advances in Neural Information Processing Systems, vol. 26 (2013)

3. Brazdil, P., van Rijn, J.N., Gouk, H., Mohr, F.: Advances in metalearning: ECML/PKDD workshop on meta-knowledge transfer. In: ECML-PKDD Workshop on Meta-Knowledge Transfer, pp. 1–7. PMLR (2022)

4. Cangea, C., Day, B., Jamasb, A.R., Lio, P.: Message passing neural processes. In: ICLR 2022 Workshop on Geometrical and Topological Representation Learning (2022)

5. Chen, J., He, H., Wu, F., Wang, J.: Topology-aware correlations between relations for inductive link prediction in knowledge graphs. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 6271–6278 (2021)

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