publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. ICDE
    Feed: Towards Personalization-Effective Federated Learning
    Pengpeng Qiao, Kangfei Zhao, Bei Bi, and 3 more authors
    In 40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024 2024
  2. VLDB
    Inductive Attributed Community Search: to Learn Communities across Graphs
    Shuheng Fang, Kangfei Zhao, Yu Rong, and 2 more authors
    Proc. VLDB Endow. 2024
  3. Neural Networks
    Solving the non-submodular network collapse problems via Decision Transformer
    Kaili Ma, Han Yang, Shanchao Yang, and 6 more authors
    Neural Networks 2024
  4. J. Bio. Heath
    Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction
    Yiqiang Yi, Xu Wan, Kangfei Zhao, and 2 more authors
    IEEE J. Biomed. Health Informatics 2024

2023

  1. ACL
    A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
    Jianheng Tang, Kangfei Zhao, and Jia Li
    In Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023 2023
  2. VLDB
    Computing Graph Edit Distance via Neural Graph Matching
    Chengzhi Piao, Tingyang Xu, Xiangguo Sun, and 3 more authors
    Proc. VLDB Endow. 2023
  3. ICDE
    Community Search: A Meta Learning Approach
    Shuheng Fang, Kangfei Zhao, Guanghua Li, and 1 more author
    In 39th IEEE International Conference on Data Engineering, ICDE 2023 2023
  4. ICDE
    Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport
    Jianheng Tang, Weiqi Zhang, Jiajin Li, and 3 more authors
    In 39th IEEE International Conference on Data Engineering, ICDE 2023 2023
  5. VLDB Journal
    Learned sketch for subgraph counting: a holistic approach
    Kangfei Zhao, Jeffrey Xu Yu, Qiyan Li, and 2 more authors
    The VLDB Journal 2023
  6. TKDE
    Efficiently Counting Triangles for Hypergraph Streams by Reservoir-Based Sampling
    Lingling Zhang, Zhiwei Zhang, Guoren Wang, and 2 more authors
    IEEE Transactions on Knowledge and Data Engineering 2023
  7. CIKM
    Geometric Graph Learning for Protein Mutation Effect Prediction
    Kangfei Zhao, Yu Rong, Biaobin Jiang, and 4 more authors
    In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 2023
  8. DASFAA
    Learning with Small Data: Subgraph Counting Queries
    Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, and 1 more author
    In Database Systems for Advanced Applications - 26th International Conference, DASFAA 2023, Proceedings, Part II 2023
  9. TKDE
    Finding Critical Users in Social Communities via Graph Convolutions
    Kangfei Zhao, Zhiwei Zhang, Yu Rong, and 2 more authors
    IEEE Trans. Knowl. Data Eng. 2023

2022

  1. VLDB
    Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed
    Yuli Jiang, Yu Rong, Hong Cheng, and 3 more authors
    Proc. VLDB Endow. 2022
  2. ICDE Demo
    How Learning Can Help Complex Cyclic Join Decomposition
    Hao Zhang, Qiyan Li, Kangfei Zhao, and 2 more authors
    In 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022 2022
  3. SIGMOD
    Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process
    Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, and 2 more authors
    In SIGMOD ’22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022 2022
  4. SIGMOD
    Parallel Query Processing: To Separate Communication from Computation
    Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, and 1 more author
    In SIGMOD ’22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022 2022

2021

  1. TKDE
    SQL-G: Efficient Graph Analytics by SQL
    Kangfei Zhao, Jiao Su, Jeffrey Xu Yu, and 1 more author
    IEEE Trans. Knowl. Data Eng. 2021
  2. DASFAA
    Towards Expectation-Maximization by SQL in RDBMS
    Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, and 2 more authors
    In Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part II 2021
  3. IJCNN
    Towards Feature-free TSP Solver Selection: A Deep Learning Approach
    Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, and 1 more author
    In International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021 2021
  4. SIGMOD
    A Learned Sketch for Subgraph Counting
    Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, and 2 more authors
    In SIGMOD ’21: International Conference on Management of Data, Virtual Event, China, June 20-25, 2021 2021
  5. WISE
    Graph Ordering: Towards the Optimal by Learning
    Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, and 3 more authors
    In Web Information Systems Engineering - WISE 2021 - 22nd International Conference on Web Information Systems Engineering, WISE 2021, Melbourne, VIC, Australia, October 26-29, 2021, Proceedings, Part I 2021

2020

  1. VLDB
    Distributed Subgraph Counting: A General Approach
    Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, and 2 more authors
    Proc. VLDB Endow. 2020
  2. NeurIPS
    Dirichlet Graph Variational Autoencoder
    Jia Li, Jianwei Yu, Jiajin Li, and 5 more authors
    In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual 2020

2019

  1. Inf. Sci.
    Interactive natural language question answering over knowledge graphs
    Weiguo Zheng, Hong Cheng, Jeffrey Xu Yu, and 2 more authors
    Inf. Sci. 2019

2017

  1. CIKM
    Natural Language Question/Answering: Let Users Talk With The Knowledge Graph
    Weiguo Zheng, Hong Cheng, Lei Zou, and 2 more authors
    In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 2017
  2. SIGMOD
    All-in-One: Graph Processing in RDBMSs Revisited
    Kangfei Zhao, and Jeffrey Xu Yu
    In Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 2017
  3. Data Eng. Bull.
    Graph Processing in RDBMSs
    Kangfei Zhao, and Jeffrey Xu Yu
    IEEE Data Eng. Bull. 2017