Kangfei Zhao

Orcid: 0000-0002-7189-983X

According to our database1, Kangfei Zhao authored at least 37 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction.
IEEE J. Biomed. Health Informatics, July, 2024

Solving the non-submodular network collapse problems via Decision Transformer.
Neural Networks, 2024

All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction.
CoRR, 2024

2023
Learned sketch for subgraph counting: a holistic approach.
VLDB J., September, 2023

Learning with Small Data: Subgraph Counting Queries.
Data Sci. Eng., September, 2023

Finding Critical Users in Social Communities via Graph Convolutions.
IEEE Trans. Knowl. Data Eng., 2023

Computing Graph Edit Distance via Neural Graph Matching.
Proc. VLDB Endow., 2023

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Community Search: A Meta-Learning Approach.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Geometric Graph Learning for Protein Mutation Effect Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Detecting Critical Nodes in Hypergraphs via Hypergraph Convolutional Network.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment.
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.
Proc. VLDB Endow., 2022

Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network.
CoRR, 2022

Transformer for Graphs: An Overview from Architecture Perspective.
CoRR, 2022

Community Search: Learn from Small Data.
CoRR, 2022

Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process.
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.
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).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

How Learning Can Help Complex Cyclic Join Decomposition.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
SQL-G: Efficient Graph Analytics by SQL.
IEEE Trans. Knowl. Data Eng., 2021

Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process.
CoRR, 2021

QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search.
CoRR, 2021

Graph Ordering: Towards the Optimal by Learning.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

A Learned Sketch for Subgraph Counting.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Towards Feature-free TSP Solver Selection: A Deep Learning Approach.
Proceedings of the International Joint Conference on Neural Networks, 2021

Towards Expectation-Maximization by SQL in RDBMS.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Distributed Subgraph Counting: A General Approach.
Proc. VLDB Endow., 2020

Dirichlet Graph Variational Autoencoder.
CoRR, 2020

Leveraging TSP Solver Complementarity via Deep Learning.
CoRR, 2020

Graph Ordering: Towards the Optimal by Learning.
CoRR, 2020

Dirichlet Graph Variational Autoencoder.
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.
Inf. Sci., 2019

2017
Graph Processing in RDBMSs.
IEEE Data Eng. Bull., 2017

All-in-One: Graph Processing in RDBMSs Revisited.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Natural Language Question/Answering: Let Users Talk With The Knowledge Graph.
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.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015


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