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Yuan Fang

Singapore Management University, School of Information Systems, Singapore

32 papers at tracked venues · 18 at CORE A* · active 2024–2026

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Venues

WWW ×7SIGKDD ×6WSDM ×5AAAI ×3EMNLP ×3CIKM ×2IJCAI ×2ACL ×1NAACL ×1SIGIR ×1WACV ×1

Frequent coauthors

Xingtong Yu
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Yuxia Wu
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Sethupathy Parameswaran
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Jianyuan Bo
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Li-Yang Chang
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Lixin Zhou
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Jie Luo
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Hoang V. Dong
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Yibo Li
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Junrui Liu
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Yang Liu
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Tengwei Song
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Papers

  1. G-TRAC: Graph-textual Representations Alignment for Cold-start Recommendations
    WSDM 2026 ·
    Li-Yang Chang
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  2. Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs
    WSDM 2026 ·
    Sethupathy Parameswaran
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  3. THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs
    AAAI 2026 ·
    Lixin Zhou
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  4. Time-Aware Adaptive Side Information Fusion for Sequential Recommendation
    WSDM 2026 ·
    Jie Luo
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  5. A Contrastive Framework with User, Item and Review Alignment for Recommendation
    WSDM 2025 ·
    Hoang V. Dong
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  6. Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment
    SIGKDD 2025 ·
    Yibo Li
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  7. An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation
    WSDM 2025 ·
    Junrui Liu
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  8. EVA-MVC: Equitable View-weight Allocation for Generic Multi-View Clustering
    WWW 2025 · Yuan Fang
  9. Exploring the Potential of Large Language Models for Heterophilic Graphs
    NAACL 2025 ·
    Yuxia Wu
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  10. Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond
    WWW 2025 · Yuan Fang
  11. GCoT: Chain-of-Thought Prompt Learning for Graphs
    SIGKDD 2025 ·
    Xingtong Yu
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  12. Graph Positional Autoencoders as Self-supervised Learners
    SIGKDD 2025 ·
    Yang Liu
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  13. Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning
    WACV 2025 ·
    Sethupathy Parameswaran
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  14. Non-Homophilic Graph Pre-Training and Prompt Learning
    SIGKDD 2025 ·
    Xingtong Yu
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  15. Quantizing Text-attributed Graphs for Semantic-Structural Integration
    SIGKDD 2025 ·
    Jianyuan Bo
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  16. Retrieval Augmented Generation for Dynamic Graph Modeling
    SIGIR 2025 ·
    Yuxia Wu
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  17. SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation
    WWW 2025 ·
    Xingtong Yu
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  18. Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration
    CIKM 2025 ·
    Tengwei Song
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  19. Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning
    AAAI 2025 ·
    Qiannan Zhang
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  20. A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
    SIGKDD 2024 ·
    Amitoz Azad
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  21. A Survey of Ontology Expansion for Conversational Understanding
    EMNLP 2024 ·
    Jinggui Liang
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  22. Class Name Guided Out-of-Scope Intent Classification
    EMNLP 2024 ·
    Chandan Gautam
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  23. Collaborative Cross-modal Fusion with Large Language Model for Recommendation
    CIKM 2024 ·
    Zhongzhou Liu
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  24. Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
    EMNLP 2024 ·
    Liu Ran
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  25. Contrastive General Graph Matching with Adaptive Augmentation Sampling
    IJCAI 2024 ·
    Jianyuan Bo
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  26. Diffusion-based Negative Sampling on Graphs for Link Prediction
    WWW 2024 ·
    Trung-Kien Nguyen
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  27. HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning
    AAAI 2024 ·
    Xingtong Yu
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  28. Heterogeneous Graph Transformer with Poly-Tokenization
    IJCAI 2024 ·
    Zhiyuan Lu
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  29. Lecture-style Tutorial: Towards Graph Foundation Models
    WWW 2024 ·
    Chuan Shi
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  30. MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
    WWW 2024 ·
    Xingtong Yu
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  31. On the Feasibility of Simple Transformer for Dynamic Graph Modeling
    WWW 2024 ·
    Yuxia Wu
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  32. SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
    ACL 2024 ·
    Zhihao Wen
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