![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Kangfei Zhao
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j11]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: 106328 (2024) - [j10]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): 4336-4347 (2024) - [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
, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng:
Computing Graph Edit Distance via Neural Graph Matching. Proc. VLDB Endow. 16(8): 1817-1829 (2023) - [j7]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): 456-468 (2023) - [j6]Kangfei Zhao, Jeffrey Xu Yu
, Qiyan Li, Hao Zhang, Yu Rong:
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
, Yu Rong
, Biaobin Jiang
, Jianheng Tang
, Hengtong Zhang
, Jeffrey Xu Yu
, Peilin 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, 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): 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
, Jeffrey Xu Yu
, Hao Zhang
:
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
, Hao Zhang:
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
, Hong Cheng
, Jeffrey Xu Yu, Lei Zou, Kangfei Zhao:
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
, Zhongyu Wei, Hao Wei, Kangfei Zhao, Junwen Chen, Kam-Fai Wong
:
Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search. NLPCC 2015: 436-443
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 20:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint