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2020 – today
- 2024
[j7]Yudan Song, Yuecen Wei, Haonan Yuan, Qingyun Sun, Xingcheng Fu, Li-e Wang, Xianxian Li:
CausalFD: causal invariance-based fraud detection against camouflaged preference. Int. J. Mach. Learn. Cybern. 15(11): 5053-5070 (2024)- [c15]Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li:
ReGCL: Rethinking Message Passing in Graph Contrastive Learning. AAAI 2024: 8544-8552 - [c14]Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu:
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. AAAI 2024: 9160-9168 - [c13]Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li:
Hyperbolic Geometric Latent Diffusion Model for Graph Generation. ICML 2024 - [c12]Haonan Yuan
, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li:
Dynamic Graph Information Bottleneck. WWW 2024: 469-480 - [i16]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li:
Dynamic Graph Information Bottleneck. CoRR abs/2402.06716 (2024) - [i15]Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li:
Hyperbolic Geometric Latent Diffusion Model for Graph Generation. CoRR abs/2405.03188 (2024) - [i14]Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu:
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR abs/2406.09870 (2024) - [i13]Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu:
GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR abs/2407.00615 (2024) - 2023
- [j6]Quanmin Wei, Jinyan Wang, Xingcheng Fu, Jun Hu, Xianxian Li:
AIC-GNN: Adversarial information completion for graph neural networks. Inf. Sci. 626: 166-179 (2023) - [j5]Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu:
Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. 65(5): 2281-2304 (2023) - [j4]Yuecen Wei, Xingcheng Fu, Dongqi Yan, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li:
Heterogeneous graph neural network with semantic-aware differential privacy guarantees. Knowl. Inf. Syst. 65(10): 4085-4110 (2023) - [j3]Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li:
Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. Pattern Recognit. 143: 109766 (2023) - [j2]Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He:
A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(11): 11004-11018 (2023) - [c11]Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI 2023: 4643-4651 - [c10]Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang:
POINE2: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs. ECAI 2023: 1521-1528 - [c9]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS 2023 - [c8]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li:
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. NeurIPS 2023 - [c7]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM 2023: 922-930 - [c6]Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li:
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. WWW 2023: 460-468 - [i12]Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR abs/2301.00015 (2023) - [i11]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR abs/2301.12104 (2023) - [i10]Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li:
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. CoRR abs/2304.05059 (2023) - [i9]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? CoRR abs/2310.09192 (2023) - [i8]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li:
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. CoRR abs/2311.11114 (2023) - [i7]Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu:
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. CoRR abs/2312.12183 (2023) - 2022
- [c5]Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. AAAI 2022: 4165-4174 - [c4]Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu:
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CIKM 2022: 1848-1857 - [c3]Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li:
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. ICDM 2022: 528-537 - [c2]Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. WWW 2022: 1528-1537 - [i6]Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. CoRR abs/2203.01604 (2022) - [i5]Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu:
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CoRR abs/2208.08302 (2022) - [i4]Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li:
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. CoRR abs/2210.00538 (2022) - 2021
- [c1]Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu:
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. ICDM 2021: 111-120 - [i3]Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He:
A Robust and Generalized Framework for Adversarial Graph Embedding. CoRR abs/2105.10651 (2021) - [i2]Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu:
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. CoRR abs/2110.07888 (2021) - [i1]Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. CoRR abs/2112.08903 (2021)
2010 – 2019
- 2019
- [j1]Jinyan Wang, Chen Liu, Xingcheng Fu, Xudong Luo, Xianxian Li:
A three-phase approach to differentially private crucial patterns mining over data streams. Comput. Secur. 82: 30-48 (2019)
Coauthor Index
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