PPaperPicks

Zhizhi Yu

15 papers at tracked venues · 8 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Di Jin
×10
Dongxiao He
×10
Zhiyong Feng
×5
Jianguo Wei
×4
Ling Ding
×2
Lei Huang
×2
Xinglong Chang
×2
Weixiong Zhang
×2
Ronghui Guo
×2
Xiaowang Zhang
×2
Minghui Zou
×2
Sai Zhang
×2

Papers

  1. ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion
    AAAI 2026 ·
    Ling Ding
    , Zhizhi Yu,
    Di Jin
    ,
    Lei Huang
  2. Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection
    WWW 2026 · Zhizhi Yu,
    Di Jin
    ,
    Dongxiao He
    ,
    Wenhuan Lu
    ,
    Jianguo Wei
  3. Attribute Association Driven Multi-Task Learning for Session-based Recommendation
    IJCAI 2025 ·
    Xinyao Wang
    , Zhizhi Yu,
    Dongxiao He
    ,
    Liang Yang
    ,
    Jianguo Wei
    ,
    Di Jin
  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
    , Zhizhi Yu
  5. Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
    AAAI 2025 · Zhizhi Yu,
    Chundong Liang
    ,
    Xinglong Chang
    ,
    Dongxiao He
    ,
    Di Jin
    ,
    Jianguo Wei
  6. Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
    AAAI 2025 ·
    Songyuan Lei
    ,
    Xinglong Chang
    , Zhizhi Yu,
    Dongxiao He
    ,
    Cuiying Huo
    ,
    Jianrong Wang
    ,
    Di Jin
  7. Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
    AAAI 2025 ·
    Siqi Liu
    ,
    Dongxiao He
    , Zhizhi Yu,
    Di Jin
    ,
    Zhiyong Feng
    ,
    Weixiong Zhang
  8. NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection
    IJCAI 2025 ·
    Ronghui Guo
    ,
    Xiaowang Zhang
    , Zhizhi Yu,
    Minghui Zou
    ,
    Sai Zhang
    ,
    Zhiyong Feng
  9. Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion
    AAAI 2025 ·
    Ling Ding
    ,
    Lei Huang
    , Zhizhi Yu,
    Di Jin
    ,
    Dongxiao He
  10. Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
    NeurIPS 2024 ·
    Jingbo Zhou
    ,
    Yixuan Du
    ,
    Ruqiong Zhang
    ,
    Jun Xia
    , Zhizhi Yu,
    Zelin Zang
    ,
    Di Jin
    ,
    Carl Yang
    ,
    Rui Zhang
    ,
    Stan Z. Li
  11. Generalized Taxonomy-Guided Graph Neural Networks
    IJCAI 2024 ·
    Yu Zhou
    ,
    Di Jin
    ,
    Jianguo Wei
    ,
    Dongxiao He
    , Zhizhi Yu,
    Weixiong Zhang
  12. Graph Local Homophily Network for Anomaly Detection
    CIKM 2024 ·
    Ronghui Guo
    ,
    Minghui Zou
    ,
    Sai Zhang
    ,
    Xiaowang Zhang
    , Zhizhi Yu,
    Zhiyong Feng
  13. Improving Distinguishability of Class for Graph Neural Networks
    AAAI 2024 ·
    Dongxiao He
    ,
    Shuwei Liu
    ,
    Meng Ge
    , Zhizhi Yu,
    Guangquan Xu
    ,
    Zhiyong Feng
  14. Joint Domain Adaptive Graph Convolutional Network
    IJCAI 2024 ·
    Niya Yang
    ,
    Ye Wang
    , Zhizhi Yu,
    Dongxiao He
    ,
    Xin Huang
    ,
    Di Jin
  15. LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily
    IJCAI 2024 · Zhizhi Yu,
    Bin Feng
    ,
    Dongxiao He
    ,
    Zizhen Wang
    ,
    Yuxiao Huang
    ,
    Zhiyong Feng