RANDOM_WALK

作品数:152被引量:172H指数:7
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相关作者:倪卫宁石寅张佳惠傅应强成可立更多>>
相关机构:安徽工程大学西北工业大学中国科学院西安邮电大学更多>>
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SOOP: Efficient Distributed Graph Computation Supporting Second-Order Random Walks
《Journal of Computer Science & Technology》2021年第5期985-1001,共17页Songjie Niu Dongyan Zhou 
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 ...
关键词:second-order random walk(SOW) Node2Vec second-order PageRank distributed graph computation SOOP(second-order random walks with on-demand probability computation) 
Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations被引量:1
《Journal of Computer Science & Technology》2021年第2期276-287,共12页Ling-Yun Dai Jin-Xing Liu Rong Zhu Juan Wang Sha-Sha Yuan 
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...
关键词:miRNA-disease association logistic function Gaussian interaction profile weighted K-nearest known neighbour bi-random walk 
Topological Features Based Entity Disambiguation被引量:1
《Journal of Computer Science & Technology》2016年第5期1053-1068,共16页Chen-Chen Sun De-Rong Shen Yue Kou Tie-Zheng Nie Ge Yu 
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...
关键词:entity disambiguation topological feature CLUSTERING random walk with restarts 
Trinity: Walking on a User-Object-Tag Heterogeneous Network for Personalised Recommendations被引量:5
《Journal of Computer Science & Technology》2016年第3期577-594,共18页Ming-Xin Gan Lily Sun Rui Jiang 
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...
关键词:recommender system tag-aware recommendation random walk with restart heterogeneous network socialtag 
Social Trust Aware Item Recommendation for Implicit Feedback被引量:8
《Journal of Computer Science & Technology》2015年第5期1039-1053,共15页郭磊 马军 姜浩然 陈竹敏 刑长明 
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...
关键词:social recommendation matrix factorization random walk Bayesian personalized ranking 
iBole: A Hybrid Multi-Layer Architecture for Doctor Recommendation in Medical Social Networks被引量:4
《Journal of Computer Science & Technology》2015年第5期1073-1081,共9页宫继兵 王立立 孙胜涛 彭思维 
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...
关键词:doctor recommendation architecture random walk with restart doctor-patient tie mining time-constraintprobability factor graph model medical social network 
Random Walk Routing in WSNs with Regular Topologies被引量:11
《Journal of Computer Science & Technology》2006年第4期496-502,共7页田慧 沈鸿 松泽照男 
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...
关键词:wireless sensor networks ROUTING random walk shortest path 
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