A transformer framework for generating context-aware knowledge graph paths

Author:

Lo Pei-ChiORCID,Lim Ee-Peng

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference82 articles.

1. Asai A, Hashimoto K, Hajishirzi H et al (2020) Learning to retrieve reasoning paths over wikipedia graph for question answering. In: ICLR

2. Bach S H, Broecheler M, Huang B et al (2017) Hinge-loss markov random fields and probabilistic soft logic. J Mach Learn Res 18:3846–3912

3. Baghershahi P, Hosseini R, Moradi H (2023) Self-attention presents low-dimensional knowledge graph embeddings for link prediction. Knowl-Based Syst 260:110–124. https://doi.org/10.1016/j.knosys.2022.110124

4. Bengio Y, Ducharme R, Vincent P et al (2003) A neural probabilistic language model. J Mach Learn Res 3:1137–1155

5. Bhatia S, Dwivedi P, Kaur A (2018) That’s interesting, tell me more! finding descriptive support passages for knowledge graph relationships. In: ISWC. https://doi.org/10.1007/978-3-030-00671-6_{1}5

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