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Tan, Qiaoyu

  1. Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
    2024/03/28 by Yucheng Shi, Qiaoyu Tan, Shi, Yucheng +9 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  2. MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction
    2024/06/18 by Yuyan Liu, Liu, Yuyan, Sirui Ding +7 · 7 citations
    Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational Drug Discovery Methods #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM) #and Science (cs.CE)
  3. Sparse-Interest Network for Sequential Recommendation
    2021/02/18 by Qiaoyu Tan, Tan, Qiaoyu, Jianwei Zhang +11 · 3 citations
    Computer Science · Decision Sciences · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Advanced Bandit Algorithms Research
  4. Learning to Hash with Graph Neural Networks for Recommender Systems
    2020/03/04 by Qiaoyu Tan, Tan, Qiaoyu, Ninghao Liu +9 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning
  5. Dynamic Memory based Attention Network for Sequential Recommendation
    2021/02/18 by Tan, Qiaoyu, Zhang, Jianwei, Liu, Ninghao +4 · 2 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  6. MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
    2022/01/07 by Qiaoyu Tan, Ninghao Liu, Tan, Qiaoyu +9 · 2 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques
  7. DreamShard: Generalizable Embedding Table Placement for Recommender Systems
    2022/10/05 by Zha, Daochen, Feng, Louis, Tan, Qiaoyu +6 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models
    2024/06/17 by Fang, Yi, Fan, Dongzhe, Zha, Daochen +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  9. UniGLM: Training One Unified Language Model for Text-Attributed Graph Embedding
    2024/06/17 by Fang, Yi, Fan, Dongzhe, Ding, Sirui +2 · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  10. GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction
    2023/08/18 by Yucheng Shi, Shi, Yucheng, Yushun Dong +7 · 2 citations
    Computer Science · Medicine · #Advanced Graph Neural Networks #Radiomics and Machine Learning in Medical Imaging #Domain Adaptation and Few-Shot Learning
  11. OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
    2023/06/17 by Zhou, Zhiyao, Zhou, Sheng, Mao, Bochao +7 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  12. Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignment
    2024/06/20 by Xu, Kaishuai, Cheng, Yi, Hou, Wenjun +2 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  13. Collaborative Graph Neural Networks for Attributed Network Embedding
    2023/07/22 by Tan, Qiaoyu, Zhang, Xin, Huang, Xiao +3 · 2 citations
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  14. LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting
    2024/06/20 by Chuang, Yu-Neng, Li, Songchen, Yuan, Jiayi +9 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Graph Contrastive Learning with Personalized Augmentation
    2022/09/14 by Zhang, Xin, Qiaoyu Tan, Tan, Qiaoyu +4 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques
  16. ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs
    2023/05/03 by Yucheng Shi, Shi, Yucheng, Hehuan Ma +12 · 1 citation
    Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Text Readability and Simplification
  17. GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design
    2025/01/27 by Y. Z. Sun, Zhenghai Ma, Sun, Yuanfu +6 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
  18. Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection
    2023/12/09 by Yuanchen Bei, Sheng Zhou, Bei, Yuanchen +11 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. GraphFM: A Comprehensive Benchmark for Graph Foundation Model
    2024/06/12 by Xu, Yuhao, Liu, Xinqi, Duan, Keyu +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning
    2025/06/12 by Jialu Liu, Liu, Jiajin, Dongzhe Fan +9 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  21. Homophily-enhanced Structure Learning for Graph Clustering
    2023/08/10 by Ming Gu, Gaoming Yang, Gu, Ming +13 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Recommender Systems and Techniques