Kangfei Zhao

Orcid: 0000-0002-7189-983X

According to our database¹, Kangfei Zhao authored at least 40 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, July, 2024

Inductive Attributed Community Search: to Learn Communities across Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., June, 2024

Solving the non-submodular network collapse problems via Decision Transformer.

[BibT_eX]

[DOI]

Neural Networks, 2024

All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Feed: Towards Personalization-Effective Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Natural Language-Assisted Multi-modal Medication Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Learned sketch for subgraph counting: a holistic approach.

[BibT_eX]

[DOI]

VLDB J., September, 2023

Learning with Small Data: Subgraph Counting Queries.

[BibT_eX]

[DOI]

Data Sci. Eng., September, 2023

Finding Critical Users in Social Communities via Graph Convolutions.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Computing Graph Edit Distance via Neural Graph Matching.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Community Search: A Meta-Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Geometric Graph Learning for Protein Mutation Effect Prediction.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Detecting Critical Nodes in Hypergraphs via Hypergraph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment.

[BibT_eX]

[DOI]

Jianheng Tang

Kangfei Zhao

Jia Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network.

[BibT_eX]

[DOI]

CoRR, 2022

Transformer for Graphs: An Overview from Architecture Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

Community Search: Learn from Small Data.

[BibT_eX]

[DOI]

CoRR, 2022

Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Parallel Query Processing: To Separate Communication from Computation.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

How Learning Can Help Complex Cyclic Join Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

SQL-G: Efficient Graph Analytics by SQL.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process.

[BibT_eX]

[DOI]

CoRR, 2021

QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search.

[BibT_eX]

[DOI]

CoRR, 2021

Graph Ordering: Towards the Optimal by Learning.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

A Learned Sketch for Subgraph Counting.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Towards Feature-free TSP Solver Selection: A Deep Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Towards Expectation-Maximization by SQL in RDBMS.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Distributed Subgraph Counting: A General Approach.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Dirichlet Graph Variational Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2020

Leveraging TSP Solver Complementarity via Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Ordering: Towards the Optimal by Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Dirichlet Graph Variational Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Interactive natural language question answering over knowledge graphs.

[BibT_eX]

[DOI]

Inf. Sci., 2019

2017

Graph Processing in RDBMSs.

[BibT_eX]

[DOI]

Kangfei Zhao

Jeffrey Xu Yu

IEEE Data Eng. Bull., 2017

All-in-One: Graph Processing in RDBMSs Revisited.

[BibT_eX]

[DOI]

Kangfei Zhao

Jeffrey Xu Yu

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Natural Language Question/Answering: Let Users Talk With The Knowledge Graph.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2015

Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Kangfei Zhao

Timeline

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