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ORCIDZhizhi Yu
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2020 – today
- 2025
[j8]Siqi Liu
, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng:
Beyond Homophily: Neighborhood Distribution-guided Graph Convolutional Networks. Expert Syst. Appl. 259: 125274 (2025)- 2024
- [j7]Qin Zhang, Ziqi Liu, Qincai Li, Haolong Xiang, Zhizhi Yu, Junyang Chen, Peng Zhang, Xiaojun Chen:
Open-world structured sequence learning via dense target encoding. Inf. Sci. 680: 121147 (2024) - [j6]Yawen Li, Zhizhi Yu, Dongxiao He:
Text-Rich Graph Neural Networks With Subjective-Objective Semantic Modeling. IEEE Trans. Knowl. Data Eng. 36(9): 4956-4967 (2024) - [j5]Zhizhi Yu, Di Jin, JianGuo Wei, Yawen Li, Ziyang Liu, Yue Shang, Jiawei Han, Lingfei Wu:
TeKo: Text-Rich Graph Neural Networks With External Knowledge. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14699-14711 (2024) - [c13]Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng:
Improving Distinguishability of Class for Graph Neural Networks. AAAI 2024: 12349-12357 - [c12]Ronghui Guo, Minghui Zou, Sai Zhang, Xiaowang Zhang, Zhizhi Yu, Zhiyong Feng:
Graph Local Homophily Network for Anomaly Detection. CIKM 2024: 706-716 - [c11]Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin:
Joint Domain Adaptive Graph Convolutional Network. IJCAI 2024: 2496-2504 - [c10]Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng:
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily. IJCAI 2024: 2515-2523 - [c9]Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang:
Generalized Taxonomy-Guided Graph Neural Networks. IJCAI 2024: 2616-2624 - 2023
- [j4]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65(2): 613-640 (2023) - [j3]Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang:
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1149-1170 (2023) - [j2]Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-Paths. IEEE Trans. Knowl. Data Eng. 35(4): 3925-3937 (2023) - [c8]Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang:
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. KSEM (4) 2023: 56-68 - [c7]Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu:
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. WWW 2023: 727-736 - [i5]Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu:
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. CoRR abs/2302.11396 (2023) - 2022
- [j1]Dongxiao He, Yanli Wu, Youyou Wang, Zhizhi Yu, Zhiyong Feng, Xiaobao Wang, Yuxiao Huang:
Identification of Communities With Multi-Semantics via Bayesian Generative Model. IEEE Trans. Big Data 8(4): 869-881 (2022) - [c6]Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang:
Graph Neural Network for Higher-Order Dependency Networks. WWW 2022: 1622-1630 - [i4]Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu:
TeKo: Text-Rich Graph Neural Networks with External Knowledge. CoRR abs/2206.07253 (2022) - 2021
- [c5]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. ICDM 2021: 837-846 - [c4]Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han:
Universal Graph Convolutional Networks. NeurIPS 2021: 10654-10664 - [c3]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. WSDM 2021: 157-165 - [i3]Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang:
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. CoRR abs/2101.01669 (2021) - 2020
- [c2]Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang:
Community-Centric Graph Convolutional Network for Unsupervised Community Detection. IJCAI 2020: 3515-3521 - [i2]Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-paths. CoRR abs/2007.02643 (2020) - [i1]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks. CoRR abs/2010.12157 (2020)
2010 – 2019
- 2018
- [c1]Zhizhi Yu, Bo Yang:
Researcher Name Disambiguation: Feature Learning and Affinity Propagation Clustering. ISMIS 2018: 225-235
Coauthor Index
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