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Shi, Chuan

  1. Beyond Low-frequency Information in Graph Convolutional Networks
    2021/01/04 by Deyu Bo, Xiao Wang, Bo, Deyu +5 · 35 citations
    Computer Science · Neuroscience · Engineering · #Advanced Graph Neural Networks #EEG and Brain-Computer Interfaces #Advanced Memory and Neural Computing
  2. Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
    2022/09/28 by Shaohua Fan, Fan, Shaohua, Xiao Wang +7 · 11 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. Specformer: Spectral Graph Neural Networks Meet Transformers
    2023/03/02 by Deyu Bo, Chuan Shi, Bo, Deyu +5 · 11 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Topic Modeling
  4. Heterogeneous Information Network Embedding for Recommendation
    2017/11/29 by Shi, Chuan, Hu, Binbin, Zhao, Wayne Xin +1 · 6 citations
    #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  5. A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
    2020/11/30 by Xiao Wang, Wang, Xiao, Deyu Bo +9 · 7 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Data Quality and Management
  6. Interpreting and Unifying Graph Neural Networks with An Optimization Framework
    2021/01/28 by Zhu, Meiqi, Wang, Xiao, Shi, Chuan +2 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  7. Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
    2021/05/19 by Xiao Wang, Nian Liu, Wang, Xiao +5 · 6 citations
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies
  8. Lorentzian Graph Convolutional Networks
    2021/04/15 by Yiding Zhang, Xiao Wang, Zhang, Yiding +7 · 4 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Complex Network Analysis Techniques
  9. GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks
    2024/02/11 by Zhang, Mengmei, Sun, Mingwei, Wang, Peng +6 · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  10. Hyperbolic Graph Attention Network
    2019/12/06 by Yiding Zhang, Xiao Wang, Zhang, Yiding +7 · 4 citations
    Computer Science · Mathematics · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Tensor decomposition and applications
  11. FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
    2024/03/19 by Cheng Yang, Jixi Liu, Yang, Cheng +5 · 6 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI
  12. Uncovering the Structural Fairness in Graph Contrastive Learning
    2022/10/06 by Ruijia Wang, Wang, Ruijia, Xiao Wang +5 · 4 citations
    Computer Science · Social Sciences · #Advanced Graph Neural Networks #Health disparities and outcomes
  13. Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval
    2024/10/30 by Huang, Le, Lan, Hengzhi, Sun, Zijun +2 · 8 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  14. Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
    2021/09/29 by Wang, Xiao, Liu, Hongrui, Shi, Chuan +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
    2021/11/20 by Shaohua Fan, Xiao Wang, Fan, Shaohua +7 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases
    2025/02/26 by Hu, Michael Y., Petty, Jackson, Shi, Chuan +2 · 8 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths
    2025/02/18 by Chen, Boyu, Guo, Zirui, Yang, Zidan +5 · 8 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  18. A Generalized Neural Diffusion Framework on Graphs
    2023/12/14 by Yibo Li, Li, Yibo, Xiao Wang +5 · 4 citations
    Computer Science · #Machine Learning and ELM #Advanced Graph Neural Networks #Neural Networks and Applications
  19. KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
    2024/12/07 by Chen, Weijie, Bai, Ting, Su, Jinbo +3 · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  20. Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
    2024/09/29 by Xin Li, Weize Chen, Li, Xin +21 · 6 citations
    Computer Science · #Topic Modeling
  21. A Survey on Spectral Graph Neural Networks
    2023/02/11 by Deyu Bo, Bo, Deyu, Xiao Wang +9 · 3 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Cognitive Science and Mapping #Complex Network Analysis Techniques
  22. Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
    2021/03/04 by Cheng Yang, Jiawei Liu, Yang, Cheng +3 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Graph Theory and Algorithms
  23. Graph Distillation with Eigenbasis Matching
    2023/10/13 by Liu, Yang, Bo, Deyu, Shi, Chuan · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. Data-centric Graph Learning: A Survey
    2023/10/08 by Yuxin Guo, Guo, Yuxin, Deyu Bo +11 · 3 citations
    Computer Science · Health Professions · #Advanced Graph Neural Networks #Artificial Intelligence in Healthcare #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  25. Compact Graph Structure Learning via Mutual Information Compression
    2022/01/14 by Nian Liu, Xiao Wang, Liu, Nian +9 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Text and Document Classification Technologies
  26. Exploring the Potential of Large Language Models for Heterophilic Graphs
    2024/08/26 by Yuxia Wu, Wu, Yuxia, Li Shujie +5 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Topic Modeling
  27. Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
    2022/10/05 by Nian Liu, Xiao Wang, Liu, Nian +7 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Text and Document Classification Technologies #Domain Adaptation and Few-Shot Learning
  28. MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
    2022/12/14 by Xumeng Gong, Cheng Yang, Gong, Xumeng +3 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Advanced Technologies in Various Fields
  29. Graph Contrastive Invariant Learning from the Causal Perspective
    2024/01/23 by Mo, Yanhu, Wang, Xiao, Fan, Shaohua +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  30. Relation Structure-Aware Heterogeneous Information Network Embedding
    2019/05/15 by Yuanfu Lu, Lu, Yuanfu, Chuan Shi +5 · 1 citation
    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) #Social and Information Networks (cs.SI)
  31. Graph Fairness Learning under Distribution Shifts
    2024/01/30 by Yibo Li, Xiao Wang, Li, Yibo +11 · 2 citations
    Computer Science · #Advanced Graph Neural Networks
  32. Temporal Network Embedding with Micro- and Macro-dynamics
    2019/09/10 by Lu, Yuanfu, Wang, Xiao, Shi, Chuan +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  33. Efficient Multi-task Prompt Tuning for Recommendation
    2024/08/30 by Ting Bai, Bai, Ting, Huang Le +11 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
  34. Debiased Graph Neural Networks with Agnostic Label Selection Bias
    2022/01/19 by Shaohua Fan, Fan, Shaohua, Xiao Wang +9 · 1 citation
    Computer Science · Health Professions · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  35. Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
    2022/01/27 by Hongrui Liu, Binbin Hu, Liu, Hongrui +9 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  36. Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training
    2024/06/05 by Sun, Ao, Zhao, Weilin, Han, Xu +5 · 2 citations
    #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  37. Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization
    2023/12/18 by Jia, Tianrui, Li, Haoyang, Yang, Cheng +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  38. Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework
    2023/11/23 by Gan, Chunjing, Hu, Binbin, Huang, Bo +6 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs
    2025/03/05 by Li, Shujie, Wu, Yuxia, Shi, Chuan +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  40. BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
    2024/03/14 by Sun Ao, Weilin Zhao, Sun, Ao +11 · 1 citation
    Computer Science · Mathematics · #Advanced Data Compression Techniques #Algorithms and Data Compression #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Tensor decomposition and applications #and Cluster Computing (cs.DC)
  41. Federated Graph Condensation with Information Bottleneck Principles
    2024/05/07 by Bo Yan, Yan, Bo, He, Sihao +4 · 1 citation
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Distributed systems and fault tolerance #DNA and Biological Computing #Cloud Computing and Resource Management
  42. BurstEngine: an Efficient Distributed Framework for Training Transformers on Extremely Long Sequences of over 1M Tokens
    2025/09/24 by Sun, Ao, Zhao, Weilin, Han, Xu +4 · 2 citations
    #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  43. Speech-based Clinical Depression Screening: An Empirical Study
    2024/06/05 by Chen, Yangbin, Xu, Chenyang, Liang, Chunfeng +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Sound (cs.SD) #electronic engineering #information engineering
  44. Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits
    2025/07/09 by Shan Shen, Shen, Shan, Jiajun Zou +10 · 1 citation
    Computer Science · Engineering · #Advanced Graph Neural Networks #VLSI and FPGA Design Techniques #Low-power high-performance VLSI design
  45. GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration
    2024/10/23 by Xin Li, Li, Xin, Qi Chu +17 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #Semantic Web and Ontologies #Topic Modeling
  46. Operations & Supply Chain Management: Principles and Practice
    2025/02/20 by Petropoulos, Fotios, Akkermans, Henk, Aksin, O. Zeynep +90 · 1 citation
    #Computers and Society (cs.CY) #FOS: Computer and information sciences
  47. Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment
    2024/09/21 by Li, Yibo, Fang, Yuan, Zhang, Mengmei +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences