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Kangfei Zhao
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2020 – today
- 2024
- [j12]Kaili Ma, Han Yang
, Shanchao Yang, Kangfei Zhao, Lanqing Li
Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks 176: 106328 (2024) - [j11]Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu:
Inductive Attributed Community Search: to Learn Communities across Graphs. Proc. VLDB Endow. 17(10): 2576-2589 (2024) - [j10]Yiqiang Yi
Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction. IEEE J. Biomed. Health Informatics 28(7): 4336-4347 (2024) - [c20]Jie Tan
Natural Language-Assisted Multi-modal Medication Recommendation. CIKM 2024: 2200-2209 - [c19]Pengpeng Qiao, Kangfei Zhao, Bei Bi, Zhiwei Zhang, Ye Yuan, Guoren Wang:
Feed: Towards Personalization-Effective Federated Learning. ICDE 2024: 1779-1791 - [i12]Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu:
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. CoRR abs/2403.17740 (2024) - 2023
- [j9]Kangfei Zhao, Zongyan He, Jeffrey Xu Yu, Yu Rong:
Learning with Small Data: Subgraph Counting Queries. Data Sci. Eng. 8(3): 292-305 (2023) - [j8]Chengzhi Piao, Tingyang Xu
Computing Graph Edit Distance via Neural Graph Matching. Proc. VLDB Endow. 16(8): 1817-1829 (2023) - [j7]Kangfei Zhao, Zhiwei Zhang
Finding Critical Users in Social Communities via Graph Convolutions. IEEE Trans. Knowl. Data Eng. 35(1): 456-468 (2023) - [j6]Kangfei Zhao, Jeffrey Xu Yu
Learned sketch for subgraph counting: a holistic approach. VLDB J. 32(5): 937-962 (2023) - [c18]Jianheng Tang, Kangfei Zhao, Jia Li:
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment. ACL (Findings) 2023: 3320-3334 - [c17]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: 47-62 - [c16]Kangfei Zhao
Geometric Graph Learning for Protein Mutation Effect Prediction. CIKM 2023: 3412-3422 - [c15]Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Yu Rong:
Learning with Small Data: Subgraph Counting Queries. DASFAA (3) 2023: 308-319 - [c14]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: 1638-1651 - [c13]Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu:
Community Search: A Meta-Learning Approach. ICDE 2023: 2358-2371 - [i11]Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li:
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. CoRR abs/2301.12721 (2023) - [i10]Jianheng Tang, Kangfei Zhao, Jia Li:
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment. CoRR abs/2305.06574 (2023) - 2022
- [j5]Yuli Jiang
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed. Proc. VLDB Endow. 15(6): 1243-1255 (2022) - [c12]Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). ICDE 2022: 1539-1540 - [c11]Hao Zhang, Qiyan Li, Kangfei Zhao, Jeffrey Xu Yu, Yuanyuan Zhu:
How Learning Can Help Complex Cyclic Join Decomposition. ICDE 2022: 3138-3141 - [c10]Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Rui Li, Hao Zhang:
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process. SIGMOD Conference 2022: 973-987 - [c9]Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao:
Parallel Query Processing: To Separate Communication from Computation. SIGMOD Conference 2022: 1447-1461 - [i9]Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu:
Community Search: Learn from Small Data. CoRR abs/2201.00288 (2022) - [i8]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 abs/2202.08455 (2022) - [i7]Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao:
Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network. CoRR abs/2210.16098 (2022) - 2021
- [j4]Kangfei Zhao, Jiao Su
SQL-G: Efficient Graph Analytics by SQL. IEEE Trans. Knowl. Data Eng. 33(5): 2237-2251 (2021) - [c8]Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang
Towards Expectation-Maximization by SQL in RDBMS. DASFAA (2) 2021: 778-794 - [c7]Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong
Towards Feature-free TSP Solver Selection: A Deep Learning Approach. IJCNN 2021: 1-8 - [c6]Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, Yu Rong
A Learned Sketch for Subgraph Counting. SIGMOD Conference 2021: 2142-2155 - [c5]Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang
Graph Ordering: Towards the Optimal by Learning. WISE (1) 2021: 423-437 - [i6]Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang:
Towards Expectation-Maximization by SQL in RDBMS. CoRR abs/2101.09094 (2021) - [i5]Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search. CoRR abs/2104.03583 (2021) - [i4]Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Hao Zhang:
Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process. CoRR abs/2107.08706 (2021) - 2020
- [j3]Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao, Hong Cheng:
Distributed Subgraph Counting: A General Approach. Proc. VLDB Endow. 13(11): 2493-2507 (2020) - [c4]Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. NeurIPS 2020 - [i3]Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Junzhou Huang, Hao Zhang:
Graph Ordering: Towards the Optimal by Learning. CoRR abs/2001.06631 (2020) - [i2]Kangfei Zhao, Shengcai Liu, Yu Rong, Jeffrey Xu Yu:
Leveraging TSP Solver Complementarity via Deep Learning. CoRR abs/2006.00715 (2020) - [i1]Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. CoRR abs/2010.04408 (2020)
2010 – 2019
- 2019
- [j2]Weiguo Zheng
Interactive natural language question answering over knowledge graphs. Inf. Sci. 481: 141-159 (2019) - 2017
- [j1]Kangfei Zhao, Jeffrey Xu Yu:
Graph Processing in RDBMSs. IEEE Data Eng. Bull. 40(3): 6-17 (2017) - [c3]Weiguo Zheng, Hong Cheng, Lei Zou, Jeffrey Xu Yu, Kangfei Zhao:
Natural Language Question/Answering: Let Users Talk With The Knowledge Graph. CIKM 2017: 217-226 - [c2]Kangfei Zhao, Jeffrey Xu Yu:
All-in-One: Graph Processing in RDBMSs Revisited. SIGMOD Conference 2017: 1165-1180 - 2015
- [c1]Jing Li
Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search. NLPCC 2015: 436-443
Coauthor Index
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last updated on 2024-12-22 20:02 CET by the dblp team
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