Wu, Qitian

1. NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
   2023/06/14 by Qitian Wu, Wu, Qitian, Wentao Zhao +7 · 24 citations
   Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG)
2. SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
   2023/06/19 by Qitian Wu, Wentao Zhao, Wu, Qitian +13 · 23 citations
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Topic Modeling
3. From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
   2021/06/23 by Hengrui Zhang, Zhang, Hengrui, Qitian Wu +7 · 11 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
   2023/01/23 by Qitian Wu, Wu, Qitian, Chenxiao Yang +9 · 13 citations
   Computer Science · #Machine Learning and Data Classification #Machine Learning in Healthcare #Neural Networks and Applications
5. Handling Distribution Shifts on Graphs: An Invariance Perspective
   2022/02/05 by Qitian Wu, Wu, Qitian, Hengrui Zhang +5 · 10 citations
   Computer Science · Environmental Science · #Advanced Graph Neural Networks #Air Quality Monitoring and Forecasting #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Health, Environment, Cognitive Aging #Machine Learning (cs.LG)
6. Energy-based Out-of-Distribution Detection for Graph Neural Networks
   2023/02/06 by Wu, Qitian, Chen, Yiting, Yang, Chenxiao +1 · 9 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
7. Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
   2022/11/05 by Sui, Yongduo, Wu, Qitian, Wu, Jiancan +5 · 7 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
   2024/05/28 by Xu, Wujiang, Wu, Qitian, Liang, Zujie +5 · 9 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
9. Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
   2022/12/18 by Yang, Chenxiao, Wu, Qitian, Wang, Jiahua +1 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Localized Contrastive Learning on Graphs
    2022/12/08 by Zhang, Hengrui, Wu, Qitian, Wang, Yu +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
11. DiffPuter: Empowering Diffusion Models for Missing Data Imputation
    2024/05/31 by Hengrui Zhang, Liancheng Fang, Zhang, Hengrui +4 · 4 citations
    Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Statistical Methods and Inference
12. Graph Out-of-Distribution Generalization via Causal Intervention
    2024/02/18 by Qitian Wu, Fan Nie, Wu, Qitian +7 · 3 citations
    Computer Science · #Advanced Clustering Algorithms Research #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
13. Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment
    2022/10/24 by Chenxiao Yang, Qitian Wu, Yang, Chenxiao +9 · 2 citations
    Computer Science · Psychology · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Mental Health Research Topics #Mental Health via Writing
14. Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators
    2019/09/28 by Wu, Qitian, Gao, Rui, Zha, Hongyuan · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
15. Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
    2020/07/09 by Qitian Wu, Hengrui Zhang, Wu, Qitian +7 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling
16. How Graph Neural Networks Learn: Lessons from Training Dynamics
    2023/10/08 by Yang, Chenxiao, Wu, Qitian, Wipf, David +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)