Candidate-aware Graph Contrastive Learning for Recommendation-Reference-Cited by-同舟云学术

Candidate-aware Graph Contrastive Learning for Recommendation

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

He Wei¹^ORCID,Sun Guohao¹^ORCID,Lu Jinhu¹^ORCID,Fang Xiu Susie¹^ORCID

Affiliation:

1. Donghua University, Shanghai, China

Funder

Fundamental Research Funds for the Central Universities

National Science Fund for Young Scholars

Shanghai Science and Technology Commission

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591647

Reference51 articles.

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3. 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. 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. 27--34.

4. Xavier Glorot and Yoshua Bengio. 2010. Understanding the difficulty of training deep feedforward neural networks. In AISTATS. 249--256. Xavier Glorot and Yoshua Bengio. 2010. Understanding the difficulty of training deep feedforward neural networks. In AISTATS. 249--256.

5. Hakim Hafidi , Mounir Ghogho , Philippe Ciblat , and Ananthram Swami . 2020. GraphCL: Contrastive Self-Supervised Learning of Graph Representations. CoRR ( 2020 ). Hakim Hafidi, Mounir Ghogho, Philippe Ciblat, and Ananthram Swami. 2020. GraphCL: Contrastive Self-Supervised Learning of Graph Representations. CoRR (2020).

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