Zhongying Zhao

Venues

Frequent coauthors

Papers

1. A Dual-Channel Contrastive Learning Framework for Anomaly Detection in Dynamic Graph Structures
   WWW 2026 ·

   Runshuo Liu

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2. Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method
   AAAI 2026 ·

   Gen Liu

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3. DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification
   AAAI 2026 ·

   Guangkai Wu

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4. FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs
   AAAI 2026 ·

   Chao Li

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5. Mitigating Dynamic Graph Distribution Shifts via Mixture of Variational Experts
   WWW 2026 ·

   Qianyu Song

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6. Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy
   AAAI 2026 ·

   Xiang Li

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7. ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
   WWW 2026 ·

   Xiang Li

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8. S²HyRec: Self-Supervised Hypergraph Sequential Recommendation
   AAAI 2026 ·

   Yuchen Liu

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9. CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation
   IJCAI 2025 · Zhongying Zhao
10. Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs
    IJCAI 2025 · Zhongying Zhao
11. Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
    AAAI 2025 ·

    Jinyu Zhang

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12. MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking
    IJCAI 2025 ·

    Yiming He

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13. Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder
    AAAI 2025 ·

    Qiqi Zhang

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14. UMGAD: Unsupervised Multiplex Graph Anomaly Detection
    ICDE 2025 ·

    Xiang Li

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