Metapath-guided dual semantic-aware filtering for HIN-based recommendation-Reference-Cited by-同舟云学术

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Metapath-guided dual semantic-aware filtering for HIN-based recommendation

Published:2023-03-04 Issue:11 Volume:79 Page:11934-11964
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Yan Surong,Wang Haosen,Li Yixiao,Wu Chunqi,Han Long,Shi Chenglong,Guo Ruilin

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05113-6.pdf

Reference60 articles.

1. van den Berg R, Kipf TN, Welling M (2017) Graph convolutional matrix completion. arXiv:abs/1706.02263

2. Bianchi FM, Grattarola D, Livi L et al (2022) Hierarchical representation learning in graph neural networks with node decimation pooling. IEEE Trans Neural Netw Learn Syst 33(5):2195–2207. https://doi.org/10.1109/TNNLS.2020.3044146

3. Chen H, Yin H, Wang W et al (2018) PME: projected metric embedding on heterogeneous networks for link prediction. In: Guo Y, Farooq F (eds) Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018. ACM, pp 1177–1186, https://doi.org/10.1145/3219819.3219986

4. Dong Y, Chawla NV, Swami A (2017) metapath2vec: Scalable representation learning for heterogeneous networks. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017. ACM, pp 135–144, https://doi.org/10.1145/3097983.3098036

5. Fan S, Zhu J, Han X et al (2019a) Metapath-guided heterogeneous graph neural network for intent recommendation. In: Teredesai A, Kumar V, Li Y et al (eds) Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. ACM, pp 2478–2486, https://doi.org/10.1145/3292500.3330673

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