Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding
Ji, Cheng, Zhao, Tao, Sun, Qingyun, Fu, Xingcheng, Li, Jianxin
Published in Pattern recognition (01.11.2023)
Published in Pattern recognition (01.11.2023)
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Journal Article
AIC-GNN: Adversarial information completion for graph neural networks
Wei, Quanmin, Wang, Jinyan, Fu, Xingcheng, Hu, Jun, Li, Xianxian
Published in Information sciences (01.05.2023)
Published in Information sciences (01.05.2023)
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Journal Article
A Robust and Generalized Framework for Adversarial Graph Embedding
Li, Jianxin, Fu, Xingcheng, Zhu, Shijie, Peng, Hao, Wang, Senzhang, Sun, Qingyun, Yu, Philip S., He, Lifang
Published in IEEE transactions on knowledge and data engineering (01.11.2023)
Published in IEEE transactions on knowledge and data engineering (01.11.2023)
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Journal Article
A three-phase approach to differentially private crucial patterns mining over data streams
Wang, Jinyan, Liu, Chen, Fu, Xingcheng, Luo, Xudong, Li, Xianxian
Published in Computers & security (01.05.2019)
Published in Computers & security (01.05.2019)
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Journal Article
Heterogeneous graph neural network with semantic-aware differential privacy guarantees
Wei, Yuecen, Fu, Xingcheng, Yan, Dongqi, Sun, Qingyun, Peng, Hao, Wu, Jia, Wang, Jinyan, Li, Xianxian
Published in Knowledge and information systems (01.10.2023)
Published in Knowledge and information systems (01.10.2023)
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Journal Article
Adaptive curvature exploration geometric graph neural network
Fu, Xingcheng, Li, Jianxin, Wu, Jia, Qin, Jiawen, Sun, Qingyun, Ji, Cheng, Wang, Senzhang, Peng, Hao, Yu, Philip S.
Published in Knowledge and information systems (01.05.2023)
Published in Knowledge and information systems (01.05.2023)
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Journal Article
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Wei, Yuecen, Fu, Xingcheng, Sun, Qingyun, Peng, Hao, Wu, Jia, Wang, Jinyan, Li, Xianxian
Published in 2022 IEEE International Conference on Data Mining (ICDM) (01.11.2022)
Published in 2022 IEEE International Conference on Data Mining (ICDM) (01.11.2022)
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Conference Proceeding
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
Fu, Xingcheng, Li, Jianxin, Wu, Jia, Sun, Qingyun, Ji, Cheng, Wang, Senzhang, Tan, Jiajun, Peng, Hao, Yu, Philip S.
Published in 2021 IEEE International Conference on Data Mining (ICDM) (01.12.2021)
Published in 2021 IEEE International Conference on Data Mining (ICDM) (01.12.2021)
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Conference Proceeding
Hyperbolic Geometric Latent Diffusion Model for Graph Generation
Fu, Xingcheng, Gao, Yisen, Wei, Yuecen, Sun, Qingyun, Peng, Hao, Li, Jianxin, Li, Xianxian
Year of Publication 06.05.2024
Year of Publication 06.05.2024
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Journal Article
Poincar\'e Differential Privacy for Hierarchy-Aware Graph Embedding
Wei, Yuecen, Yuan, Haonan, Fu, Xingcheng, Sun, Qingyun, Peng, Hao, Li, Xianxian, Hu, Chunming
Year of Publication 19.12.2023
Year of Publication 19.12.2023
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Journal Article
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
Yuan, Haonan, Sun, Qingyun, Fu, Xingcheng, Zhang, Ziwei, Ji, Cheng, Peng, Hao, Li, Jianxin
Year of Publication 18.11.2023
Year of Publication 18.11.2023
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Journal Article
Does Graph Distillation See Like Vision Dataset Counterpart?
Yang, Beining, Wang, Kai, Sun, Qingyun, Ji, Cheng, Fu, Xingcheng, Tang, Hao, You, Yang, Li, Jianxin
Year of Publication 13.10.2023
Year of Publication 13.10.2023
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Journal Article
GC-Bench: An Open and Unified Benchmark for Graph Condensation
Sun, Qingyun, Chen, Ziying, Yang, Beining, Ji, Cheng, Fu, Xingcheng, Zhou, Sheng, Peng, Hao, Li, Jianxin, Yu, Philip S
Year of Publication 30.06.2024
Year of Publication 30.06.2024
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Journal Article
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
Fu, Xingcheng, Yuecen Wei, Sun, Qingyun, Yuan, Haonan, Wu, Jia, Peng, Hao, Li, Jianxin
Published in arXiv.org (11.04.2023)
Published in arXiv.org (11.04.2023)
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Paper
Journal Article
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Ji, Cheng, Li, Jianxin, Peng, Hao, Wu, Jia, Fu, Xingcheng, Sun, Qingyun, Yu, Phillip S
Year of Publication 28.01.2023
Year of Publication 28.01.2023
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Journal Article
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Sun, Qingyun, Li, Jianxin, Yang, Beining, Fu, Xingcheng, Peng, Hao, Yu, Philip S
Year of Publication 30.12.2022
Year of Publication 30.12.2022
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Journal Article
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Wei, Yuecen, Fu, Xingcheng, Sun, Qingyun, Peng, Hao, Wu, Jia, Wang, Jinyan, Li, Xianxian
Year of Publication 02.10.2022
Year of Publication 02.10.2022
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Journal Article
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
Qin, Jiawen, Yuan, Haonan, Sun, Qingyun, Xu, Lyujin, Yuan, Jiaqi, Huang, Pengfeng, Wang, Zhaonan, Fu, Xingcheng, Peng, Hao, Li, Jianxin, Yu, Philip S
Year of Publication 14.06.2024
Year of Publication 14.06.2024
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Journal Article