no code implementations • 17 Mar 2024 • Yinfeng Li, Fengkui Ju
The third one is determinism, that is, the grand coalition's joint actions always have a unique outcome.
1 code implementation • 14 Nov 2023 • GuanYu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
In this paper, we propose a meta-learning method to annotate the unlabeled data from loss and gradient perspectives, which considers the noises in both positive and negative instances.
1 code implementation • 18 Sep 2022 • GuanYu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Dong Li, Jianye Hao, Yong Li
Such user-centric recommendation will make it impossible for the provider to expose their new items, failing to consider the accordant interactions between user and item dimensions.
1 code implementation • 14 Aug 2022 • Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li
In particular, we first unify the fine-grained user similarity and the complex matching between user preferences and spatiotemporal activity into a heterogeneous hypergraph.
no code implementations • NeurIPS 2021 • Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li
Deep sparse networks (DSNs), of which the crux is exploring the high-order feature interactions, have become the state-of-the-art on the prediction task with high-sparsity features.
no code implementations • submitted to TOIS 2021 • Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li
In this survey, we conduct a comprehensive review of the literature on graph neural network-based recommender systems.