| 2026 | AAAI | ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion. | Ling Ding, Zhizhi Yu, Di Jin, Lei Huang |
| 2026 | WWW | Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection. | Zhizhi Yu, Di Jin, Dongxiao He, Wenhuan Lu, Jianguo Wei |
| 2025 | AAAI | Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion. | Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He |
| 2025 | AAAI | Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation. | Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin |
| 2025 | AAAI | Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily. | Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang |
| 2025 | AAAI | Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection. | Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei |
| 2025 | EMNLP | CaTER: A Framework for Context-aware Topology Entity Retrieval Contrastive Learning in End-to-End Task-Oriented Dialogue Systems. | Di Wu Hebeu, Zhizhi Yu |
| 2025 | IJCAI | NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection. | Ronghui Guo, Xiaowang Zhang, Zhizhi Yu, Minghui Zou, Sai Zhang, Zhiyong Feng |
| 2025 | IJCAI | Attribute Association Driven Multi-Task Learning for Session-based Recommendation. | Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin |
| 2024 | AAAI | Improving Distinguishability of Class for Graph Neural Networks. | Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng |
| 2024 | CIKM | Graph Local Homophily Network for Anomaly Detection. | Ronghui Guo, Minghui Zou, Sai Zhang, Xiaowang Zhang, Zhizhi Yu, Zhiyong Feng |
| 2024 | IJCAI | Joint Domain Adaptive Graph Convolutional Network. | Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin |
| 2024 | IJCAI | LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily. | Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng |
| 2024 | IJCAI | Generalized Taxonomy-Guided Graph Neural Networks. | Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang |
| 2023 | KSEM | Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. | Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang |
| 2023 | WWW | KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. | Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu |
| 2022 | WWW | Graph Neural Network for Higher-Order Dependency Networks. | Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang |
| 2021 | ICDM | AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. | Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han |
| 2021 | WSDM | BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. | Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han |
| 2020 | IJCAI | Community-Centric Graph Convolutional Network for Unsupervised Community Detection. | Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang |
| 2018 | ISMIS | Researcher Name Disambiguation: Feature Learning and Affinity Propagation Clustering. | Zhizhi Yu, Bo Yang |