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Graph Learning based Recommender Systems: A Review.

, , , , , , , , и . CoRR, (2021)

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Xiangnan Weng

Ning He

Hongxia He

Chunmao He

Xiaowen He

 

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A Survey of Adversarial Learning on Graphs., , , , , , , и . CoRR, (2020)Cross-domain Recommendation with Bridge-Item Embeddings., , , , , , и . ACM Trans. Knowl. Discov. Data, 16 (1): 2:1-2:23 (2022)A KG-Enhanced Multi-Graph Neural Network for Attentive Herb Recommendation., , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (5): 2560-2571 (2022)Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation., , , , и . IEEE Trans. Syst. Man Cybern. Syst., 53 (7): 4039-4051 (июля 2023)A Truthful Incentive Mechanism for Online Recruitment in Mobile Crowd Sensing System., , , , , и . Sensors, 17 (1): 79 (2017)Reinforced Negative Sampling for Recommendation with Exposure Data., , , , и . IJCAI, стр. 2230-2236. ijcai.org, (2019)Neural Multi-task Recommendation from Multi-behavior Data., , , , , , , и . ICDE, стр. 1554-1557. IEEE, (2019)Modeling the Past and Future Contexts for Session-based Recommendation., , , , , и . CoRR, (2019)Learning to Recommend With Multiple Cascading Behaviors., , , , , , , , , и . IEEE Trans. Knowl. Data Eng., 33 (6): 2588-2601 (2021)Modeling Product's Visual and Functional Characteristics for Recommender Systems., , , , , и . IEEE Trans. Knowl. Data Eng., 34 (3): 1330-1343 (2022)