PPaperPicks

Shirui Pan

91 papers at tracked venues · 70 at CORE A* · active 2024–2026

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Venues

AAAI ×14ICML ×13WWW ×12NeurIPS ×10IJCAI ×9SIGKDD ×7ICLR ×6ACL ×5ICDM ×4CIKM ×3EMNLP ×2ICDE ×2ACM MM ×1EACL ×1ECAI ×1WSDM ×1

Frequent coauthors

Linhao Luo
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Qin Zhang
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Shiyuan Li
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Junjun Pan
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Yejiang Wang
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Xin Zheng
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Ming Jin
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Xingrui Zhuo
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Yuxuan Liang
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Guibin Zhang
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Lele Fu
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Langzhang Liang
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Papers

  1. Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
    AAAI 2026 ·
    Shiyuan Li
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  2. Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing
    EACL 2026 ·
    Shigeng Chen
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  3. BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks
    ACL 2026 ·
    Rui Miao
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  4. CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems
    ACL 2026 ·
    Yongxuan Wu
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  5. Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time
    AAAI 2026 ·
    Junjun Pan
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  6. EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning
    SIGKDD 2026 ·
    Hengyu Zhang
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  7. Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection
    ACL 2026 ·
    Junjun Pan
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  8. Graph-to-Tree: Topological Decomposition for Self-Supervised Learning
    WWW 2026 ·
    Yejiang Wang
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  9. GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
    AAAI 2026 ·
    Xinghe Cheng
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  10. LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence
    ACL 2026 ·
    Wenjin Liu
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  11. Meta-Learning Driven Few-Shot Knowledge Transfer with Dual-Stage Adaptive Data Replay for Cross-Domain Recommendation
    WWW 2026 ·
    Yilei Qiu
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  12. Multi-Source Unsupervised Graph Domain Adaptation via Concise Propagation-Transformation Pipeline
    WWW 2026 ·
    Jiayi Wang
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  13. OFA-MAS: One-for-All Multi-Agent System Topology Design based on Mixture-of-Experts Graph Generative Models
    WWW 2026 ·
    Shiyuan Li
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  14. SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation
    ACL 2026 ·
    Long Li
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  15. negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification
    WWW 2026 ·
    Junwei Gong
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  16. A Label-free Heterophily-guided Approach for Unsupervised Graph Fraud Detection
    AAAI 2025 ·
    Junjun Pan
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  17. A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare
    SIGKDD 2025 ·
    Ran Xu
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  18. Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks
    AAAI 2025 ·
    Weixuan Shen
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  19. BiMark: Unbiased Multilayer Watermarking for Large Language Models
    ICML 2025 ·
    Xiaoyan Feng
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  20. Conformal Anomaly Detection in Event Sequences
    ICML 2025 ·
    Shuai Zhang
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  21. Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
    NeurIPS 2025 ·
    Liangliang Zhang
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  22. Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation
    AAAI 2025 ·
    Nian Rong
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  23. DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
    NeurIPS 2025 ·
    Dongyuan Li
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  24. Effective Instruction Parsing Plugin for Complex Logical Query Answering on Knowledge Graphs
    WWW 2025 ·
    Xingrui Zhuo
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  25. Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
    EMNLP 2025 ·
    Yu Liu
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  26. Equivalence is All: A Unified View for Self-supervised Graph Learning
    ICML 2025 ·
    Yejiang Wang
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  27. Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond
    WWW 2025 ·
    Yuan Fang
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  28. Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
    SIGKDD 2025 ·
    Yuxuan Liang
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  29. FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
    CIKM 2025 ·
    Yunfeng Zhao
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  30. GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
    NeurIPS 2025 ·
    Linhao Luo
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  31. Graph Sparsification via Mixture of Graphs
    ICLR 2025 ·
    Guibin Zhang
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  32. Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
    ICML 2025 ·
    Linhao Luo
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  33. Integrating Large Language Models and Knowledge Graphs for Next-level AGI
    WWW 2025 ·
    Linhao Luo
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  34. Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
    ICML 2025 ·
    Lele Fu
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  35. M2LLM: Multi-view Molecular Representation Learning with Large Language Models
    IJCAI 2025 ·
    Jiaxin Ju
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  36. Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
    ICML 2025 ·
    Langzhang Liang
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  37. N2GON: Neural Networks for Graph-of-Net with Position Awareness
    ICML 2025 ·
    Yejiang Wang
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  38. OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories
    CIKM 2025 ·
    Bo Li
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  39. Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment
    AAAI 2025 ·
    Xiao Shen
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  40. Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users
    ICDE 2025 ·
    Xiaodong Li
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  41. Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs
    IJCAI 2025 ·
    Xingrui Zhuo
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  42. Reasoning Over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations
    ICDM 2025 ·
    Zhangchi Qiu
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  43. Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning
    AAAI 2025 ·
    Fei Xiong
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  44. ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
    NeurIPS 2025 ·
    Bosong Huang
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  45. Sharpness-aware Zeroth-order Optimization for Graph Transformers
    IJCAI 2025 ·
    Yang Liu
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  46. T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
    IJCAI 2025 ·
    Yunfeng Ge
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  47. TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening
    ICDM 2025 ·
    Nam Le
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  48. TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs
    AAAI 2025 ·
    Qin Zhang
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  49. Test-Time GNN Model Evaluation on Dynamic Graphs
    ICDM 2025 ·
    Bo Li
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  50. Test-Time Graph Neural Dataset Search With Generative Projection
    ICML 2025 ·
    Xin Zheng
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  51. Test-Time Graph Rebirth for GNN Generalization Under Distribution Shifts
    ICDM 2025 ·
    Xin Zheng
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  52. The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications
    WWW 2025 ·
    Ming Jin
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  53. TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
    ICML 2025 ·
    Yifan Hu
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  54. Towards Neural Scaling Laws for Time Series Foundation Models
    ICLR 2025 ·
    Qingren Yao
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  55. Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems
    EMNLP 2025 ·
    Xu Shen
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  56. Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
    ICLR 2025 ·
    Yili Wang
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  57. Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism
    WWW 2025 ·
    Jun Yin
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  58. Unsupervised Federated Graph Learning
    NeurIPS 2025 ·
    Lele Fu
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  59. ARC: A Generalist Graph Anomaly Detector with In-Context Learning
    NeurIPS 2024 ·
    Yixin Liu
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  60. Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
    NeurIPS 2024 ·
    Jiaxi Hu
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  61. Augmented Commonsense Knowledge for Remote Object Grounding
    AAAI 2024 ·
    Bahram Mohammadi
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  62. CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection
    IJCAI 2024 ·
    Qin Zhang
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  63. Cost-effective Data Labelling for Graph Neural Networks
    WWW 2024 ·
    Shixun Huang
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  64. Differentiating Choices via Commonality for Multiple-Choice Question Answering
    ECAI 2024 ·
    Wenqing Deng
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  65. Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise
    SIGKDD 2024 ·
    Kaize Ding
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  66. EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
    NeurIPS 2024 ·
    Qin Zhang
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  67. FedPFT: Federated Proxy Fine-Tuning of Foundation Models
    IJCAI 2024 ·
    Zhaopeng Peng
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  68. Foundation Models for Time Series Analysis: A Tutorial and Survey
    SIGKDD 2024 ·
    Yuxuan Liang
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  69. GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
    AAAI 2024 ·
    Luzhi Wang
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  70. Gradformer: Graph Transformer with Exponential Decay
    IJCAI 2024 ·
    Chuang Liu
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  71. Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation
    IJCAI 2024 ·
    Fei Xiong
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  72. Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
    ICML 2024 ·
    Xixun Lin
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  73. IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion
    WWW 2024 ·
    Jiapu Wang
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  74. Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
    NeurIPS 2024 ·
    Jiapu Wang
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  75. Maximizing Malicious Influence in Node Injection Attack
    WSDM 2024 ·
    Xiao Zhang
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  76. NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
    AAAI 2024 ·
    Bo Xiong
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  77. Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
    CIKM 2024 ·
    Shiyuan Li
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  78. Online GNN Evaluation Under Test-time Graph Distribution Shifts
    ICLR 2024 ·
    Xin Zheng
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  79. Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models
    SIGKDD 2024 ·
    Xu Shen
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  80. Position: What Can Large Language Models Tell Us about Time Series Analysis
    ICML 2024 ·
    Ming Jin
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  81. ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning
    AAAI 2024 ·
    Qin Zhang
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  82. Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
    ICLR 2024 ·
    Linhao Luo
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  83. Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
    ICML 2024 ·
    Langzhang Liang
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  84. Similarity Preserving Transformer Cross-Modal Hashing for Video-Text Retrieval
    ACM MM 2024 ·
    Qianxin Huang
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  85. The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
    SIGKDD 2024 ·
    Kun Wang
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  86. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
    ICLR 2024 ·
    Ming Jin
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  87. Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation
    AAAI 2024 ·
    Di Mi
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  88. Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
    ICML 2024 ·
    Guibin Zhang
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  89. Uncovering the Redundancy in Graph Self-supervised Learning Models
    NeurIPS 2024 ·
    Zhibiao Wang
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  90. Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
    ICDE 2024 ·
    He Zhang
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  91. Unsupervised Deep Graph Structure and Embedding Learning
    IJCAI 2024 ·
    Xiaobo Shen
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