Get started
Author

Qingyun Sun

Graph Structure Learning with Variational Information Bottleneck
2022 · Qingyun Sun, Jianxin Li, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 190
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
2021 · Qingyun Sun, Jianxin Li, et al. · International World Wide Web Conference (WWW) · 176
Automating DBSCAN via Deep Reinforcement Learning
2022 · Ruitong Zhang, Hao Peng, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 47
PDF
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
2022 · Qingyun Sun, Jianxin Li, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 44
PDF
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
2021 · Xingcheng Fu, Jianxin Li, et al. · Proceedings · 42
PDF
Adaptive Subgraph Neural Network with Reinforced Critical Structure Mining
2023 · Jianxin Li, Qingyun Sun, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 31
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
2023 · Xingcheng Fu, Yuecen Wei, et al. · International World Wide Web Conference (WWW) · 28
PDF
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
2022 · Yuecen Wei, Xingcheng Fu, et al. · Proceedings · 27
PDF
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
2020 · Qingyun Sun, Hao Peng, et al. · Proceedings · 24
PDF
Hierarchical Text Classification Optimization via Structural Entropy and Singular Smoothing
2025 · Qitong Liu, Hao Peng, et al. · IEEE Transactions on Knowledge and Data Engineering · 22
Dynamic Graph Information Bottleneck
2024 · Haonan Yuan, Qingyun Sun, et al. · International World Wide Web Conference (WWW) · 22
ReGCL: Rethinking Message Passing in Graph Contrastive Learning
2024 · Cheng Ji, Zixuan Huang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 21
PDF
A Robust and Generalized Framework for Adversarial Graph Embedding
2023 · Jianxin Li, Xingcheng Fu, et al. · IEEE Transactions on Knowledge and Data Engineering · 21
PDF
Curvature Graph Generative Adversarial Networks
2022 · Jianxin Li, Xingcheng Fu, et al. · International World Wide Web Conference (WWW) · 21
PDF
Does Graph Distillation See Like Vision Dataset Counterpart?
2023 · Beining Yang, Kai Wang, et al. · neural information processing systems · 20
PDF
GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning
2026 · Chuanyue Yu, Kuo Zhao, et al. · International World Wide Web Conference (WWW) · 19
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
2025 · Zihao Guo, Qingyun Sun, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 19
PDF
Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding
2023 · Cheng Ji, Tao Zhao, et al. · Pattern Recognition · 18
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
2023 · Qian Li, Jianxin Li, et al. · ACM Transactions on the Web · 18
PDF
DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning
2025 · Sun, Qingyun, Yuan, Jiaqi, et al. · arXiv (Cornell University) · 15
PDF
A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models
2025 · Ziqi Yuan, Qingyun Sun, et al. · International Journal of Machine Learning and Cybernetics · 15
Hyperbolic Geometric Latent Diffusion Model for Graph Generation
2024 · Fu, Xingcheng, Gao, Yisen, et al. · arXiv (Cornell University) · 15
PDF
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
2023 · Haonan Yuan, Qingyun Sun, et al. · neural information processing systems · 15
PDF
Future Forcing: Future-aware Training-free KV Cache Policy for Autoregressive Video Generation
2026 · Luo, Jiayi, Liu, Qiyan, et al. · arXiv (Cornell University) · 13
PDF
Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery
2024 · Feihong Lu, Weiqi Wang, et al. · ACM International Conference on Multimedia (ACM MM) · 13
PDF
Works count: 118
Citation count: 1,136
H-index: 18
I10-index: 32
Year
Topic
Type