1 code implementation • 13 May 2022 • Xiangnan He, Yang Zhang, Fuli Feng, Chonggang Song, Lingling Yi, Guohui Ling, Yongdong Zhang
We demonstrate DCR on the backbone model of neural factorization machine (NFM), showing that DCR leads to more accurate prediction of user preference with small inference time cost.
1 code implementation • 13 May 2021 • Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang
This work studies an unexplored problem in recommendation -- how to leverage popularity bias to improve the recommendation accuracy.
1 code implementation • 11 Sep 2020 • Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang
In this paper, we propose a new GCN model named CatGCN, which is tailored for graph learning when the node features are categorical.
no code implementations • 11 Feb 2020 • Chonggang Song, Qian Lin, Guohui Ling, Zongyi Zhang, Hongzhao Chen, Jun Liao, Chuan Chen
To tackle the challenges, we propose a Local Community-based Edge Classification (LoCEC) framework that classifies user relationships in a social network into real-world social connection types.