Kangfei Zhao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 41

Top Topics

Parallel Query Processing

Social Communities

Top Venues

SIGMOD Conference

Proc. VLDB Endow.

Publications

Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao
Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. CoRR (2024)
Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong
Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks 176 (2024)
Pengpeng Qiao, Kangfei Zhao, Bei Bi, Zhiwei Zhang, Ye Yuan, Guoren Wang
Feed: Towards Personalization-Effective Federated Learning. ICDE (2024)
Jianheng Tang, Kangfei Zhao, Jia Li
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment. CoRR (2023)
Jianheng Tang, Kangfei Zhao, Jia Li
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment. ACL (Findings) (2023)
Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang
Finding Critical Users in Social Communities via Graph Convolutions. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Zhuang Miao, Fuhui Sun, Xiaoyan Wang, Pengpeng Qiao, Kangfei Zhao, Yadong Wang, Zhiwei Zhang, George Y. Yuan
Detecting Critical Nodes in Hypergraphs via Hypergraph Convolutional Network. APWeb/WAIM (4) (2023)
Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Yu Rong
Learning with Small Data: Subgraph Counting Queries. DASFAA (3) (2023)
Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao
Geometric Graph Learning for Protein Mutation Effect Prediction. CIKM (2023)
Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. CoRR (2023)
Kangfei Zhao, Jeffrey Xu Yu, Qiyan Li, Hao Zhang, Yu Rong
Learned sketch for subgraph counting: a holistic approach. VLDB J. 32 (5) (2023)
Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. ICDE (2023)
Chengzhi Piao, Tingyang Xu, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng
Computing Graph Edit Distance via Neural Graph Matching. Proc. VLDB Endow. 16 (8) (2023)
Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu
Community Search: A Meta-Learning Approach. ICDE (2023)
Kangfei Zhao, Zongyan He, Jeffrey Xu Yu, Yu Rong
Learning with Small Data: Subgraph Counting Queries. Data Sci. Eng. 8 (3) (2023)
Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong
Transformer for Graphs: An Overview from Architecture Perspective. CoRR (2022)
Hao Zhang, Qiyan Li, Kangfei Zhao, Jeffrey Xu Yu, Yuanyuan Zhu
How Learning Can Help Complex Cyclic Join Decomposition. ICDE (2022)
Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu
Community Search: Learn from Small Data. CoRR (2022)
Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao
Parallel Query Processing: To Separate Communication from Computation. SIGMOD Conference (2022)
Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao
Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network. CoRR (2022)
Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Rui Li, Hao Zhang
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process. SIGMOD Conference (2022)
Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed. Proc. VLDB Endow. 15 (6) (2022)
Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). ICDE (2022)
Kangfei Zhao, Jiao Su, Jeffrey Xu Yu, Hao Zhang
SQL-G: Efficient Graph Analytics by SQL. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang
Towards Expectation-Maximization by SQL in RDBMS. CoRR (2021)
Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search. CoRR (2021)
Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang
Towards Expectation-Maximization by SQL in RDBMS. DASFAA (2) (2021)
Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang, Hao Zhang
Graph Ordering: Towards the Optimal by Learning. WISE (1) (2021)
Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Hao Zhang
Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process. CoRR (2021)
Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong
Towards Feature-free TSP Solver Selection: A Deep Learning Approach. IJCNN (2021)
Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, Yu Rong
A Learned Sketch for Subgraph Counting. SIGMOD Conference (2021)
Kangfei Zhao, Shengcai Liu, Yu Rong, Jeffrey Xu Yu
Leveraging TSP Solver Complementarity via Deep Learning. CoRR (2020)
Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
Dirichlet Graph Variational Autoencoder. NeurIPS (2020)
Jia Li, Tomasyu Yu Jiajin Li, Honglei Zhang, Kangfei Zhao, Y. U. Rong, Hong Cheng
Dirichlet Graph Variational Autoencoder. CoRR (2020)
Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Junzhou Huang, Hao Zhang
Graph Ordering: Towards the Optimal by Learning. CoRR (2020)
Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao, Hong Cheng
Distributed Subgraph Counting: A General Approach. Proc. VLDB Endow. 13 (11) (2020)
Weiguo Zheng, Hong Cheng, Jeffrey Xu Yu, Lei Zou, Kangfei Zhao
Interactive natural language question answering over knowledge graphs. Inf. Sci. 481 (2019)
Kangfei Zhao, Jeffrey Xu Yu
All-in-One: Graph Processing in RDBMSs Revisited. SIGMOD Conference (2017)
Weiguo Zheng, Hong Cheng, Lei Zou, Jeffrey Xu Yu, Kangfei Zhao
Natural Language Question/Answering: Let Users Talk With The Knowledge Graph. CIKM (2017)
Kangfei Zhao, Jeffrey Xu Yu
Graph Processing in RDBMSs. IEEE Data Eng. Bull. 40 (3) (2017)
Jing Li, Zhongyu Wei, Hao Wei, Kangfei Zhao, Junwen Chen, Kam-Fai Wong
Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search. NLPCC (2015)