A three-phase approach to differentially private crucial patterns mining over data streams. - Jinyan Wang; Chen Liu; Xingcheng Fu; Xudong Luo; Xianxian Li (Comput. Secur., 2019)

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. - Xingcheng Fu; Jianxin Li 002; Jia Wu 001; Qingyun Sun; Cheng Ji 001; Senzhang Wang; Jiajun Tan; Hao Peng 001; Philip S. Yu (ICDM, 2021)

Graph Structure Learning with Variational Information Bottleneck. - Qingyun Sun; Jianxin Li 002; Hao Peng 001; Jia Wu 001; Xingcheng Fu; Cheng Ji 001; Philip S. Yu (AAAI, 2022)

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. - Qingyun Sun; Jianxin Li 002; Haonan Yuan; Xingcheng Fu; Hao Peng 001; Cheng Ji 001; Qian Li 033; Philip S. Yu (CIKM, 2022)

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. - Yuecen Wei; Xingcheng Fu; Qingyun Sun; Hao Peng 001; Jia Wu 001; Jinyan Wang; Xianxian Li (ICDM, 2022)

Curvature Graph Generative Adversarial Networks. - Jianxin Li 002; Xingcheng Fu; Qingyun Sun; Cheng Ji 001; Jiajun Tan; Jia Wu 001; Hao Peng 001 (WWW, 2022)

Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. - Qingyun Sun; Jianxin Li 002; Beining Yang; Xingcheng Fu; Hao Peng 001; Philip S. Yu (AAAI, 2023)

POINE2: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs. - Junnan Liu; Qianren Mao; Jianxin Li 002; Xingcheng Fu; Zheng Wang 001 (ECAI, 2023)

Does Graph Distillation See Like Vision Dataset Counterpart? - Beining Yang; Kai Wang 036; Qingyun Sun; Cheng Ji 001; Xingcheng Fu; Hao Tang 005; Yang You 001; Jianxin Li 002 (NeurIPS, 2023)

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. - Haonan Yuan; Qingyun Sun; Xingcheng Fu; Ziwei Zhang 001; Cheng Ji 001; Hao Peng 001; Jianxin Li 002 (NeurIPS, 2023)

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. - Cheng Ji 001; Jianxin Li 002; Hao Peng 001; Jia Wu 001; Xingcheng Fu; Qingyun Sun; Philip S. Yu (WSDM, 2023)

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. - Xingcheng Fu; Yuecen Wei; Qingyun Sun; Haonan Yuan; Jia Wu 001; Hao Peng 001; Jianxin Li 002 (WWW, 2023)

AIC-GNN: Adversarial information completion for graph neural networks. - Quanmin Wei; Jinyan Wang; Xingcheng Fu; Jun Hu; Xianxian Li (Inf. Sci., 2023)

Adaptive curvature exploration geometric graph neural network. - Xingcheng Fu; Jianxin Li 002; Jia Wu 001; Jiawen Qin; Qingyun Sun; Cheng Ji 001; Senzhang Wang; Hao Peng 001; Philip S. Yu (Knowl. Inf. Syst., 2023)

Heterogeneous graph neural network with semantic-aware differential privacy guarantees. - Yuecen Wei; Xingcheng Fu; Dongqi Yan; Qingyun Sun; Hao Peng 001; Jia Wu 001; Jinyan Wang; Xianxian Li (Knowl. Inf. Syst., 2023)

Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. - Cheng Ji 001; Tao Zhao; Qingyun Sun; Xingcheng Fu; Jianxin Li 002 (Pattern Recognit., 2023)

A Robust and Generalized Framework for Adversarial Graph Embedding. - Jianxin Li 002; Xingcheng Fu; Shijie Zhu; Hao Peng 001; Senzhang Wang; Qingyun Sun; Philip S. Yu; Lifang He 001 (IEEE Trans. Knowl. Data Eng., 2023)

ReGCL: Rethinking Message Passing in Graph Contrastive Learning. - Cheng Ji 001; Zixuan Huang; Qingyun Sun; Hao Peng 001; Xingcheng Fu; Qian Li 033; Jianxin Li 002 (AAAI, 2024)

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. - Yuecen Wei; Haonan Yuan; Xingcheng Fu; Qingyun Sun; Hao Peng 001; Xianxian Li; Chunming Hu (AAAI, 2024)

Hyperbolic Geometric Latent Diffusion Model for Graph Generation. - Xingcheng Fu; Yisen Gao; Yuecen Wei; Qingyun Sun; Hao Peng 001; Jianxin Li 002; Xianxian Li (ICML, 2024)

GC-Bench: An Open and Unified Benchmark for Graph Condensation. - Qingyun Sun; Ziying Chen; Beining Yang; Cheng Ji 001; Xingcheng Fu; Sheng Zhou 004; Hao Peng 001; Jianxin Li 002; Philip S. Yu (NeurIPS, 2024)

Dynamic Graph Information Bottleneck. - Haonan Yuan; Qingyun Sun; Xingcheng Fu; Cheng Ji 001; Jianxin Li 002 (WWW, 2024)

CausalFD: causal invariance-based fraud detection against camouflaged preference. - Yudan Song; Yuecen Wei; Haonan Yuan; Qingyun Sun; Xingcheng Fu; Li-e Wang 001; Xianxian Li (Int. J. Mach. Learn. Cybern., 2024)

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck. - Xingcheng Fu; Yisen Gao; Beining Yang; Yuxuan Wu; Haodong Qian; Qingyun Sun; Xianxian Li (AAAI, 2025)

Discrete Curvature Graph Information Bottleneck. - Xingcheng Fu; Jian Wang; Yisen Gao; Qingyun Sun; Haonan Yuan; Jianxin Li 002; Xianxian Li (AAAI, 2025)

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts. - Zihao Guo; Qingyun Sun; Haonan Yuan; Xingcheng Fu; Min Zhou; Yisen Gao; Jianxin Li 002 (AAAI, 2025)

Prompt-based Unifying Inference Attack on Graph Neural Networks. - Yuecen Wei; Xingcheng Fu; Lingyun Liu; Qingyun Sun; Hao Peng 001; Chunming Hu (AAAI, 2025)

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. - Haonan Yuan; Qingyun Sun; Zhaonan Wang 005; Xingcheng Fu; Cheng Ji 001; Yongjian Wang; Bo Jin; Jianxin Li 002 (AAAI, 2025)

Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding. - Tianyu Chen; Xingcheng Fu; Yisen Gao; Haodong Qian; Yuecen Wei; Kun Yan; Haoyi Zhou; Jianxin Li 002 (CVPR, 2025)

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. - Jiawen Qin; Haonan Yuan; Qingyun Sun; Lyujin Xu; Jiaqi Yuan; Pengfeng Huang; Zhaonan Wang 005; Xingcheng Fu; Hao Peng 001; Jianxin Li 002; Philip S. Yu (ICLR, 2025)

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation. - Beining Yang; Qingyun Sun; Cheng Ji 001; Xingcheng Fu; Jianxin Li 002 (ICLR, 2025)

Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. - Jiawen Qin; Pengfeng Huang; Qingyun Sun; Cheng Ji 001; Xingcheng Fu; Jianxin Li 002 (WSDM, 2025)

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification. - Jiayi Luo; Qingyun Sun; Haonan Yuan; Xingcheng Fu; Jianxin Li 002 (WWW, 2025)

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks. - Jinyan Wang; Liu Yang; Yuecen Wei; Jiaxuan Si; Chenhao Guo; Qingyun Sun; Xianxian Li; Xingcheng Fu (CoRR, 2025)

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs. - Yisen Gao; Jiaxin Bai; Tianshi Zheng; Qingyun Sun; Ziwei Zhang 001; Jianxin Li 002; Yangqiu Song; Xingcheng Fu (CoRR, 2025)

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning. - Yudan Song; Yuecen Wei; Yuhang Lu; Qingyun Sun; Minglai Shao 001; Li-e Wang; Chunming Hu; Xianxian Li; Xingcheng Fu (CoRR, 2025)

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning. - Qingyun Sun; Jiaqi Yuan; Shan He; Xiao Guan; Haonan Yuan; Xingcheng Fu; Jianxin Li 002; Philip S. Yu (CoRR, 2025)

Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. - Yumeng Wang; Zengyi Wo; Wenjun Wang 002; Xingcheng Fu; Minglai Shao 001 (CoRR, 2025)

A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models. - Ziqi Yuan; Qingyun Sun; Haoyi Zhou; Minglai Shao 001; Xingcheng Fu (Int. J. Mach. Learn. Cybern., 2025)