Zhizhi Yu

According to our database, Zhizhi Yu authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Distinguishability of Class for Graph Neural Networks.

Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GCN for HIN via Implicit Utilization of Attention and Meta-Paths.

Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han

IEEE Trans. Knowl. Data Eng., April, 2023

Embedding text-rich graph neural networks with sequence and topical semantic structures.

Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han

Knowl. Inf. Syst., February, 2023

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.

Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang

IEEE Trans. Knowl. Data Eng., 2023

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

Proceedings of the ACM Web Conference 2023, 2023

Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.

Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang

Proceedings of the Knowledge Science, Engineering and Management, 2023

2022

Identification of Communities With Multi-Semantics via Bayesian Generative Model.

Dongxiao He, Yanli Wu, Youyou Wang, Zhizhi Yu, Zhiyong Feng, Xiaobao Wang, Yuxiao Huang

IEEE Trans. Big Data, 2022

TeKo: Text-Rich Graph Neural Networks with External Knowledge.

Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu

CoRR, 2022

Graph Neural Network for Higher-Order Dependency Networks.

Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.

Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang

CoRR, 2021

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

Proceedings of the WSDM '21, 2021

Universal Graph Convolutional Networks.

Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks.

Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han

CoRR, 2020

Community-Centric Graph Convolutional Network for Unsupervised Community Detection.

Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2018

Researcher Name Disambiguation: Feature Learning and Affinity Propagation Clustering.

Zhizhi Yu, Bo Yang

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018