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Yaming Yang

Xidian University, Xi'an, China

16 papers at tracked venues · 14 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-8186-0648 ↗Google Scholar ↗

Venues

AAAI ×4WWW ×4SIGKDD ×3CIKM ×2ICDE ×2NeurIPS ×1

Frequent coauthors

Weigang Lu
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Ziyu Zheng
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Zhe Wang
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Shijun Guo
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Yiheng Lu
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Papers

  1. Aligning Multiple Knowledge Graphs in A Single Pass
    WWW 2026 · Yaming Yang
  2. Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
    WWW 2026 ·
    Ziyu Zheng
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  3. H-NeiFi: Non-Invasive and Consensus-Efficient Multi-Agent Opinion Guidance
    WWW 2026 ·
    Shijun Guo
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  4. MessageShift: Fine-Grained Data Augmentation for Graph Neural Networks
    WWW 2026 ·
    Weigang Lu
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  5. ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs
    AAAI 2026 ·
    Weigang Lu
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  6. A Translation-Based Heterogeneous Graph Neural Network for Multiple Knowledge Graphs Alignment
    ICDE 2025 · Yaming Yang
  7. AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
    AAAI 2025 ·
    Weigang Lu
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  8. Audience-Aware and Self-Adaptive Multi-Interest Modeling for Sharing Rate Prediction in Affiliate Marketing
    CIKM 2025 ·
    Zhe Wang
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  9. Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs
    NeurIPS 2025 · Yaming Yang
  10. Discrepancy-Aware Graph Mask Auto-Encoder
    SIGKDD 2025 ·
    Ziyu Zheng
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  11. Dynamic Network-Based Two-Stage Time Series Forecasting for Affiliate Marketing
    CIKM 2025 ·
    Zhe Wang
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  12. Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs
    SIGKDD 2025 ·
    Ziyu Zheng
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  13. SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract)
    ICDE 2025 ·
    Weigang Lu
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  14. AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation
    SIGKDD 2024 ·
    Weigang Lu
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  15. Entropy Induced Pruning Framework for Convolutional Neural Networks
    AAAI 2024 ·
    Yiheng Lu
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  16. NodeMixup: Tackling Under-Reaching for Graph Neural Networks
    AAAI 2024 ·
    Weigang Lu
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