Zhizhi Yu

Venues

Frequent coauthors

Papers

1. ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion
   AAAI 2026 ·

   Ling Ding

   DBLP profile ↗ORCID search ↗
2. Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection
   WWW 2026 · Zhizhi Yu
3. Attribute Association Driven Multi-Task Learning for Session-based Recommendation
   IJCAI 2025 ·

   Xinyao Wang

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4. CaTER: A Framework for Context-aware Topology Entity Retrieval Contrastive Learning in End-to-End Task-Oriented Dialogue Systems
   EMNLP 2025 ·

   Di Wu Hebeu

   DBLP profile ↗ORCID search ↗
5. Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
   AAAI 2025 · Zhizhi Yu
6. Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
   AAAI 2025 ·

   Songyuan Lei

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7. Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
   AAAI 2025 ·

   Siqi Liu

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8. NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection
   IJCAI 2025 ·

   Ronghui Guo

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9. Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
   AAAI 2025 ·

   Ling Ding

   DBLP profile ↗ORCID search ↗
10. Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
    NeurIPS 2024 ·

    Jingbo Zhou

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11. Generalized Taxonomy-Guided Graph Neural Networks
    IJCAI 2024 ·

    Yu Zhou

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12. Graph Local Homophily Network for Anomaly Detection
    CIKM 2024 ·

    Ronghui Guo

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13. Improving Distinguishability of Class for Graph Neural Networks
    AAAI 2024 ·

    Dongxiao He

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14. Joint Domain Adaptive Graph Convolutional Network
    IJCAI 2024 ·

    Niya Yang

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15. LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily
    IJCAI 2024 · Zhizhi Yu