Affiliation:
1. The Hong Kong Polytechnic University, Kowloon, Hong Kong
2. North Carolina State University, Raleigh, USA
3. Duke University, Durham, USA
Funder
National Natural Science Foundation of China
Internal Research Funds from The Hong Kong Polytechnic University
Research Collaborative Project from The Hong Kong Polytechnic University
Amazon Research Award 2022
General Research Fund from the Hong Kong Research Grants Council
SHTM Interdisciplinary Large Grant from The Hong Kong Polytechnic University
Reference55 articles.
1. Rianne van den Berg, Thomas N Kipf, and Max Welling. 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 (2017).
2. Hao Chen Yuanchen Bei Qijie Shen Yue Xu Sheng Zhou Wenbing Huang Feiran Huang Senzhang Wang and Xiao Huang. 2024. Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. In WWW.
3. Jie Chen Tengfei Ma and Cao Xiao. 2018a. Fastgcn: fast learning with graph convolutional networks via importance sampling. In ICLR.
4. Jianfei Chen Jun Zhu and Le Song. 2018b. Stochastic Training of Graph Convolutional Networks with Variance Reduction. In ICML.
5. Xiao Chen Wenqi Fan Jingfan Chen Haochen Liu Zitao Liu Zhaoxiang Zhang and Qing Li. 2023. Fairly adaptive negative sampling for recommendations. In WWW.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Graph Unlearning with Efficient Partial Retraining;Companion Proceedings of the ACM Web Conference 2024;2024-05-13