A survey of graph neural networks for recommender systems: Challenges, methods, and directions C Gao, Y Zheng, N Li, Y Li, Y Qin, J Piao, Y Quan, J Chang, D Jin, X He, ... ACM Transactions on Recommender Systems 1 (1), 1-51, 2023 | 251 | 2023 |
Graph neural networks for recommender system C Gao, X Wang, X He, Y Li Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 190 | 2022 |
Reinforced Negative Sampling for Recommendation with Exposure Data. J Ding, Y Quan, X He, Y Li, D Jin IJCAI, 2230-2236, 2019 | 130 | 2019 |
Simplify and robustify negative sampling for implicit collaborative filtering J Ding, Y Quan, Q Yao, Y Li, D Jin Advances in Neural Information Processing Systems 33, 1094-1105, 2020 | 102 | 2020 |
Improving Implicit Recommender Systems with View Data. J Ding, G Yu, X He, Y Quan, Y Li, TS Chua, D Jin, J Yu IJCAI, 3343-3349, 2018 | 97 | 2018 |
Graph neural networks for recommender systems: Challenges, methods, and directions C Gao, Y Zheng, N Li, Y Li, Y Qin, J Piao, Y Quan, J Chang, D Jin, X He, ... arXiv preprint arXiv:2109.12843 1, 46-58, 2021 | 69 | 2021 |
Robust preference-guided denoising for graph based social recommendation Y Quan, J Ding, C Gao, L Yi, D Jin, Y Li Proceedings of the ACM Web Conference 2023, 1097-1108, 2023 | 30 | 2023 |
Tabgnn: Multiplex graph neural network for tabular data prediction X Guo, Y Quan, H Zhao, Q Yao, Y Li, W Tu arXiv preprint arXiv:2108.09127, 2021 | 20 | 2021 |
Alleviating Video-length Effect for Micro-video Recommendation Y Quan, J Ding, C Gao, N Li, L Yi, D Jin, Y Li ACM Transactions on Information Systems 42 (2), 1-24, 2023 | 2 | 2023 |
Self-supervised Graph Neural Network for Mechanical CAD Retrieval Y Quan, H ZHao, J Yi, Y Chen arXiv preprint arXiv:2406.08863, 2024 | | 2024 |
Representative Negative Instance Generation for Online Ad Targeting Y Quan, J Ding, D Jin, J Yang, X Zhou, Y Li Proceedings of the 29th ACM International Conference on Information …, 2020 | | 2020 |