Xingcheng Fu

Graph Structure Learning with Variational Information Bottleneck

Qingyun Sun, Jianxin Li, Hao Peng et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2022 · 143 citations · Full text

Graph Neural Networks, Graph Structure Learning, Graph Theory +13

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing

Qingyun Sun, Jianxin Li, Haonan Yuan et al. · Proceedings of the 31st ACM International Conference on Information & Knowledge Management · 2022 · 37 citations · Full text

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

Yuecen Wei, Xingcheng Fu, Qingyun Sun et al. · 2022 IEEE International Conference on Data Mining (ICDM) · 2022 · 24 citations

Privacy Protection, Engineering, Machine Learning +18

A Robust and Generalized Framework for Adversarial Graph Embedding

Jianxin Li, Xingcheng Fu, Shijie Zhu et al. · IEEE Transactions on Knowledge and Data Engineering · 2023 · 17 citations

Graph Representation Learning, Machine Learning, Engineering +16

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification

Xingcheng Fu, Yuecen Wei, Qingyun Sun et al. · 2023 · 17 citations · Full text

Topological Properties, Geometric Learning, Engineering +18