The second-order random walk has recently been shown to effectively improve the accuracy in graph analysis tasks.Existing work mainly focuses on centralized second-order random walk(SOW)algorithms.SOW algorithms rely ...
This work was supported by the National Natural Science Foundation of China under Grant Nos.61902215,61872220 and 61701279.
MicroRNAs(miRNAs)exert an enormous influence on cell differentiation,biological development and the onset of diseases.Because predicting potential miRNA-disease associations(MDAs)by biological experiments usually requ...
This work is supported by the National Basic Research 973 Program of China under Grant No. 2012CB316201, the Fundamental Research Funds for the Central Universities of China under Grant No. N120816001, and the National Natural Science Foundation of China under Grant Nos. 61472070 and 61402213.
This work proposes an unsupervised topological features based entity disambiguation solution. Most existing studies leverage semantic information to resolve ambiguous references. However, the semantic information is n...
This work was partially supported by the National Natural Science Foundation of China under Grant Nos. 71101010 and 71471016.
The rapid evolution of the Internet has been appealing for effective recommender systems to pinpoint useful information from online resources. Although historical rating data has been widely used as the most important...
the National Natural Science Foundation of China under Grant Nos. 61272240, 60970047, 61103151 and 71301086, the Doctoral Fund of Ministry of Education of China under Grant No. 20110131110028, the Natural Science Foundation of Shandong Province of China under Grant No. ZR2012FM037, and the Excellent Middle-Aged and Youth Scientists of Shandong Province of China under Grant No. BS2012DX017.
Social trust aware recommender systems have been well studied in recent years. However, most of existing methods focus on the recommendation scenarios where users can provide explicit feedback to items. But in most ca...
the the National High Technology Research and Development 863 Program of China under Grant No. 2015AA124102, the Hebei Natural Science Foundation of China under Grant No. F2015203280, and the National Natural Science Foundation of China under Grant Nos. 61303130, 61272466, and 61303233.
In this paper, we try to systematically study how to perform doctor recommendation in medical social net- works (MSNs). Specifically, employing a real-world medical dataset as the source in our work, we propose iBol...
Topology is one of the most important characteristics for any type of networks because it represents the network's inherent properties and has great impact on the performance of the network. For wireless sensor netwo...