How Expressive are Graph Neural Networks in Recommendation?-Reference-Cited by-同舟云学术

How Expressive are Graph Neural Networks in Recommendation?

Published:2023-10-21 Issue: Volume: Page:
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Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Cai Xuheng¹^ORCID,Xia Lianghao¹^ORCID,Ren Xubin¹^ORCID,Huang Chao¹^ORCID

Affiliation:

1. The University of Hong Kong, Hong Kong, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614917

Reference40 articles.

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2. Jérémie Bouttier , Philippe Di Francesco, and Emmanuel Guitter . 2003 . Geodesic distance in planar graphs. Nuclear physics B, Vol. 663 , 3 (2003), 535--567. Jérémie Bouttier, Philippe Di Francesco, and Emmanuel Guitter. 2003. Geodesic distance in planar graphs. Nuclear physics B, Vol. 663, 3 (2003), 535--567.

3. Xuheng Cai , Chao Huang , Lianghao Xia , and Xubin Ren . 2023. LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. arXiv preprint arXiv:2302.08191 ( 2023 ). Xuheng Cai, Chao Huang, Lianghao Xia, and Xubin Ren. 2023. LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. arXiv preprint arXiv:2302.08191 (2023).

4. Benjamin Paul Chamberlain , Sergey Shirobokov , Emanuele Rossi , Fabrizio Frasca , Thomas Markovich , Nils Hammerla , Michael M Bronstein , and Max Hansmire . 2022. Graph Neural Networks for Link Prediction with Subgraph Sketching. arXiv preprint arXiv:2209.15486 ( 2022 ). Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Hammerla, Michael M Bronstein, and Max Hansmire. 2022. Graph Neural Networks for Link Prediction with Subgraph Sketching. arXiv preprint arXiv:2209.15486 (2022).

5. Lei Chen , Le Wu , Richang Hong , Kun Zhang , and Meng Wang . 2020 . Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. In AAAI Conference on Artificial Intelligence (AAAI) , Vol. 34 . 27--34. Lei Chen, Le Wu, Richang Hong, Kun Zhang, and Meng Wang. 2020. Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. In AAAI Conference on Artificial Intelligence (AAAI), Vol. 34. 27--34.

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