Researcher Name Disambiguation: Feature Learning and Affinity Propagation Clustering. - Zhizhi Yu; Bo Yang 002 (ISMIS, 2018)

Community-Centric Graph Convolutional Network for Unsupervised Community Detection. - Dongxiao He; Yue Song; Di Jin 001; Zhiyong Feng 002; Binbin Zhang; Zhizhi Yu; Weixiong Zhang (IJCAI, 2020)

BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks. - Di Jin 001; Xiangchen Song; Zhizhi Yu; Ziyang Liu 004; Heling Zhang; Zhaomeng Cheng; Jiawei Han 001 (CoRR, 2020)

AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. - Zhizhi Yu; Di Jin 001; Ziyang Liu 004; Dongxiao He; Xiao Wang 017; Hanghang Tong; Jiawei Han 001 (ICDM, 2021)

Universal Graph Convolutional Networks. - Di Jin 001; Zhizhi Yu; Cuiying Huo; Rui Wang 102; Xiao Wang 017; Dongxiao He; Jiawei Han 001 (NeurIPS, 2021)

BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. - Di Jin 001; Xiangchen Song; Zhizhi Yu; Ziyang Liu 004; Heling Zhang; Zhaomeng Cheng; Jiawei Han 001 (WSDM, 2021)

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. - Di Jin 001; Zhizhi Yu; Pengfei Jiao; Shirui Pan; Philip S. Yu; Weixiong Zhang (CoRR, 2021)

Graph Neural Network for Higher-Order Dependency Networks. - Di Jin 001; Yingli Gong; Zhiqiang Wang; Zhizhi Yu; Dongxiao He; Yuxiao Huang; Wenjun Wang 002 (WWW, 2022)

TeKo: Text-Rich Graph Neural Networks with External Knowledge. - Zhizhi Yu; Di Jin 001; Jianguo Wei; Ziyang Liu 004; Yue Shang; Yun Xiao; Jiawei Han 001; Lingfei Wu 001 (CoRR, 2022)

Identification of Communities With Multi-Semantics via Bayesian Generative Model. - Dongxiao He; Yanli Wu; Youyou Wang; Zhizhi Yu; Zhiyong Feng 002; Xiaobao Wang; Yuxiao Huang (IEEE Trans. Big Data, 2022)

Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. - Di Jin 001; Zhiqiang Wang; Cuiying Huo; Zhizhi Yu; Dongxiao He; Yuxiao Huang (KSEM (4), 2023)

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. - Zhizhi Yu; Di Jin 001; Cuiying Huo; Zhiqiang Wang; Xiulong Liu; Heng Qi; Jia Wu 001; Lingfei Wu 001 (WWW, 2023)

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. - Di Jin 001; Zhizhi Yu; Pengfei Jiao; Shirui Pan; Dongxiao He; Jia Wu 001; Philip S. Yu; Weixiong Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Embedding text-rich graph neural networks with sequence and topical semantic structures. - Zhizhi Yu; Di Jin 001; Ziyang Liu 004; Dongxiao He; Xiao Wang 017; Hanghang Tong; Jiawei Han 001 (Knowl. Inf. Syst., 2023)

GCN for HIN via Implicit Utilization of Attention and Meta-Paths. - Di Jin 001; Zhizhi Yu; Dongxiao He; Carl Yang 001; Philip S. Yu; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2023)

Improving Distinguishability of Class for Graph Neural Networks. - Dongxiao He; Shuwei Liu; Meng Ge; Zhizhi Yu; Guangquan Xu; Zhiyong Feng 002 (AAAI, 2024)

Graph Local Homophily Network for Anomaly Detection. - Ronghui Guo; Minghui Zou; Sai Zhang; Xiaowang Zhang; Zhizhi Yu; Zhiyong Feng 002 (CIKM, 2024)

Joint Domain Adaptive Graph Convolutional Network. - Niya Yang; Ye Wang; Zhizhi Yu; Dongxiao He; Xin Huang 001; Di Jin 001 (IJCAI, 2024)

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 002 (IJCAI, 2024)

Generalized Taxonomy-Guided Graph Neural Networks. - Yu Zhou 050; Di Jin 001; Jianguo Wei; Dongxiao He; Zhizhi Yu; Weixiong Zhang (IJCAI, 2024)

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module. - Jingbo Zhou; Yixuan Du; Ruqiong Zhang; Jun Xia 001; Zhizhi Yu; Zelin Zang; Di Jin 001; Carl Yang 001; Rui Zhang; Stan Z. Li (NeurIPS, 2024)

Open-world structured sequence learning via dense target encoding. - Qin Zhang 011; Ziqi Liu; Qincai Li; Haolong Xiang; Zhizhi Yu; Junyang Chen 001; Peng Zhang 001; Xiaojun Chen 006 (Inf. Sci., 2024)

Text-Rich Graph Neural Networks With Subjective-Objective Semantic Modeling. - Yawen Li 001; Zhizhi Yu; Dongxiao He (IEEE Trans. Knowl. Data Eng., 2024)

TeKo: Text-Rich Graph Neural Networks With External Knowledge. - Zhizhi Yu; Di Jin 001; Jianguo Wei; Yawen Li 001; Ziyang Liu 004; Yue Shang; Jiawei Han 001; Lingfei Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion. - Ling Ding 001; Lei Huang; Zhizhi Yu; Di Jin 001; Dongxiao He (AAAI, 2025)

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 001 (AAAI, 2025)

Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily. - Siqi Liu; Dongxiao He; Zhizhi Yu; Di Jin 001; Zhiyong Feng 002; Weixiong Zhang (AAAI, 2025)

Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection. - Zhizhi Yu; Chundong Liang; Xinglong Chang; Dongxiao He; Di Jin 001; Jianguo Wei (AAAI, 2025)

Beyond Homophily: Neighborhood Distribution-guided Graph Convolutional Networks. - Siqi Liu; Dongxiao He; Zhizhi Yu; Di Jin 001; Zhiyong Feng 002 (Expert Syst. Appl., 2025)