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» Algorithms for Large, Sparse Network Alignment Problems
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BIBM
2010
IEEE
157views Bioinformatics» more  BIBM 2010»
15 years 2 months ago
Decomposing PPI networks for complex discovery
Abstract--Protein complexes are important for understanding principles of cellular organization and functions. With the availability of large amounts of high-throughput proteinprot...
Guimei Liu, Chern Han Yong, Limsoon Wong, Hon Nian...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 4 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 6 months ago
Low rank modeling of signed networks
Trust networks, where people leave trust and distrust feedback, are becoming increasingly common. These networks may be regarded as signed graphs, where a positive edge weight cap...
Cho-Jui Hsieh, Kai-Yang Chiang, Inderjit S. Dhillo...
BMCBI
2008
228views more  BMCBI 2008»
15 years 4 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
SOCIALCOM
2010
14 years 11 months ago
Learning Influence Propagation of Personal Blogs with Content and Network Analyses
Weblogs (blogs) serve as a gateway to a large blog reader population, so blog authors can potentially influence a large reader population by expressing their thoughts and expertise...
Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice H. Oh