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Social recommendation has emerged as a powerful approach to enhance personalized recommendations by leveraging the social connections among users, such as following and friend relations observed in online social platforms.
Bpr: Bayesian personalized ranking from implicit feedback
S. Rendle, C. Freudenthaler, Z. Gantner, and L. Schmidt-Thieme · 2009
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Social collaborative filtering by trust
B. Yang, Y. Lei, J. Liu, and W. Li · 2016
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Irgan: A minimax game for unifying generative and discriminative information retrieval models
J. Wang, L. Yu, W. Zhang, Y. Gong, Y. Xu, B. Wang, P. Zhang, and D. Zhang · 2017
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Variational autoencoders for collaborative filtering
D. Liang, R. G. Krishnan, M. D. Hoffman, and T. Jebara · 2018
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Graph convolutional neural networks for web-scale recommender systems
R. Ying, R. He, K. Chen, P. Eksombatchai, W. L. Hamilton, and J. Leskovec · 2018
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Social attentional memory network: Modeling aspect-and friend-level differences in recommendation
C. Chen, M. Zhang, Y. Liu, and S. Ma · 2019
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An efficient adaptive transfer neural network for social-aware recommendation
C. Chen, M. Zhang, C. Wang, W. Ma, M. Li, Y. Liu, and S. Ma · 2019
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Graph neural networks for social recommendation
W. Fan, Y. Ma, Q. Li, Y. He, E. Zhao, J. Tang, and D. Yin · 2019
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Learning disentangled representations for recommendation
J. Ma, C. Zhou, P. Cui, H. Yang, and W. Zhu · 2019
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Session-based social recommendation via dynamic graph attention networks
W. Song, Z. Xiao, Y. Wang, L. Charlin, M. Zhang, and J. Tang · 2019
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Kgat: Knowledge graph attention network for recommendation
X. Wang, X. He, Y. Cao, M. Liu, and T.-S. Chua · 2019
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Neural graph collaborative filtering
X. Wang, X. He, M. Wang, F. Feng, and T.-S. Chua · 2019
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Mmgcn: Multi-modal graph convolution network for personalized recommendation of micro-video
Y. Wei, X. Wang, L. Nie, X. He, R. Hong, and T.-S. Chua · 2019
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A neural influence diffusion model for social recommendation
L. Wu, P. Sun, Y. Fu, R. Hong, X. Wang, and M. Wang · 2019
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Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems
Q. Wu, H. Zhang, X. Gao, P. He, P. Weng, H. Gao, and G. Chen · 2019
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Relation-aware graph convolutional networks for agent-initiated social e-commerce recommendation
F. Xu, J. Lian, Z. Han, Y. Li, Y. Xu, and X. Xie · 2019
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Vaegan: A collaborative filtering framework based on adversarial variational autoencoders
X. Yu, X. Zhang, Y. Cao, and M. Xia · 2019
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Deep learning based recommender system: A survey and new perspectives
S. Zhang, L. Yao, A. Sun, and Y. Tay · 2019
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Lightgcn: Simplifying and powering graph convolution network for recommendation
X. He, K. Deng, X. Wang, Y. Li, Y. Zhang, and M. Wang · 2020
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Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
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Sampling-decomposable generative adversarial recommender
B. Jin, D. Lian, Z. Liu, Q. Liu, J. Ma, X. Xie, and E. Chen · 2020
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Disentangled graph collaborative filtering
X. Wang, H. Jin, A. Zhang, X. He, T. Xu, and T.-S. Chua · 2020
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Diffusion-lm improves controllable text generation
X. Li, J. Thickstun, I. Gulrajani, P. S. Liang, and T. B. Hashimoto · 2022
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Improving graph collaborative filtering with neighborhood-enriched contrastive learning
Z. Lin, C. Tian, Y. Hou, and W. X. Zhao · 2022
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Palette: Image-to-image diffusion models
C. Saharia, W. Chan, H. Chang, C. Lee, J. Ho, T. Salimans, D. Fleet, and M. Norouzi · 2022
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Generative session-based recommendation
Z. Wang, W. Ye, X. Chen, W. Zhang, Z. Wang, L. Zou, and W. Liu · 2022
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Causal inference for knowledge graph based recommendation
Y. Wei, X. Wang, L. Nie, S. Li, D. Wang, and T.-S. Chua · 2022
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Disentangled contrastive learning for social recommendation
J. Wu, W. Fan, J. Chen, S. Liu, Q. Li, and K. Tang · 2022
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Structured denoising diffusion models in discrete state-spaces
J. Austin, D. D. Johnson, J. Ho, D. Tarlow, and R. Van Den Berg · 2021
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Knowledge-aware coupled graph neural network for social recommendation
C. Huang, H. Xu, Y. Xu, P. Dai, L. Xia, M. Lu, L. Bo, H. Xing, X. Lai, and Y. Ye · 2021
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Interest-aware message-passing gcn for recommendation
F. Liu, Z. Cheng, L. Zhu, Z. Gao, and L. Nie · 2021
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Concept-aware denoising graph neural network for micro-video recommendation
Y. Liu, Q. Liu, Y. Tian, C. Wang, Y. Niu, Y. Song, and C. Li · 2021
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Social recommendation with self-supervised metagraph informax network
X. Long, C. Huang, Y. Xu, H. Xu, P. Dai, L. Xia, and L. Bo · 2021
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Grad-tts: A diffusion probabilistic model for text-to-speech
V. Popov, I. Vovk, V. Gogoryan, T. Sadekova, and M. Kudinov · 2021
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Siterec: Store site recommendation under the o2o model via multi-graph attention networks
H. Yan, S. Wang, Y. Yang, B. Guo, T. He, and D. Zhang · 2022
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Diffusion models in vision: A survey
F.-A. Croitoru, V. Hondru, R. T. Ionescu, and M. Shah · 2023
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Robust preference-guided denoising for graph based social recommendation
Y. Quan, J. Ding, C. Gao, L. Yi, D. Jin, and Y. Li · 2023
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Denoised self-augmented learning for social recommendation
T. Wang, L. Xia, and C. Huang · 2023
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Diffusion recommender model
W. Wang, Y. Xu, F. Feng, X. Lin, X. He, and T.-S. Chua · 2023
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Automated self-supervised learning for recommendation
L. Xia, C. Huang, C. Huang, K. Lin, T. Yu, and B. Kao · 2023
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Planning data poisoning attacks on heterogeneous recommender systems in a multiplayer setting
C.-Y. Yeh, H.-W. Chen, D.-N. Yang, W.-C. Lee, S. Y. Philip, and M.-S. Chen · 2023
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Layer-refined graph convolutional networks for recommendation
X. Zhou, D. Lin, Y. Liu, and C. Miao · 2023
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Diffkg: Knowledge graph diffusion model for recommendation
Y. Jiang, Y. Yang, L. Xia, and C. Huang · 2024
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Higpt: Heterogeneous graph language model
J. Tang, Y. Yang, W. Wei, L. Shi, L. Xia, D. Yin, and C. Huang · 2024
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