Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Kangfei Zhao"'
Publikováno v:
Data Science and Engineering, Vol 8, Iss 3, Pp 292-305 (2023)
Abstract Deep Learning (DL) has been widely used in many applications, and its success is achieved with large training data. A key issue is how to provide a DL solution when there is no large training data to learn initially. In this paper, we explor
Externí odkaz:
https://doaj.org/article/3baf657fb0774df7a986f395355f6295
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Publikováno v:
The VLDB Journal.
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Publikováno v:
2022 IEEE 38th International Conference on Data Engineering (ICDE).
Publikováno v:
2022 IEEE 38th International Conference on Data Engineering (ICDE).
Publikováno v:
Proceedings of the VLDB Endowment. 13:2493-2507
In this paper, we study local subgraph counting, which is to count the occurrences of a user-given pattern graph p around every node v in a data graph G , when v matches to a given orbit o in p , where the orbit serves as a center to count p. In gene
Publikováno v:
Information Sciences. 481:141-159
As many real-world data are constructed into knowledge graphs, providing effective and convenient query techniques for end users is an urgent and important task. Although structured query languages, such as SPARQL, offer a powerful expression ability
Publikováno v:
IJCNN
The Travelling Salesman Problem (TSP) is a classical NP-hard problem and has broad applications in many disciplines and industries. In a large scale location-based services system, users issue TSP queries concurrently, where a TSP query is a TSP inst
Publikováno v:
SIGMOD Conference
Subgraph counting, as a fundamental problem in network analysis, is to count the number of subgraphs in a data graph that match a given query graph by either homomorphism or subgraph isomorphism. The importance of subgraph counting derives from the f