关键词: 异构学术网络, 最优路径, 重要文献

Abstract:

Based on the research of homogeneous academic network and citation network optimal\|path, we proposed a heterogeneous network optimal-path
algorithm and two evaluation indexes of the importance of path, and solved the problem that homogeneous network optimal\|path algorithm could not be applied to the real academic network. Taking the transfer learning domain data from Microsoft as dataset, we verified the correctness in heterogen
eous academic network optimal\|path detection of important literatures and their similarity in transfer learning domain and the development of transfer learning. The experimental result shows that the algorithm and indexes are more consistent with the real academic network.

Key words: heterogeneous academic network, optimalpath, important literature