Integrated network propagation identifies prognostic metabolic signatures in acute myeloid leukemia [PDF]
Journal of Translational MedicineBackground Acute myeloid leukemia (AML), a biologically heterogeneous malignancy, requires improved prognostic models, particularly for patients with intermediate-risk profiles and lacking definitive genetic markers.
Jong Keon Song +2 more
doaj +2 more sources
Block models and personalized PageRank [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2017 Johan Ugander, Jon Kleinberg
exaly +2 more sources
Personalized PageRank with Node-dependent Restart [PDF]
, 2014 Personalized PageRank is an algorithm to classify the improtance of web pages on a user-dependent basis. We introduce two generalizations of Personalized PageRank with node-dependent restart.
Sokol, Marina +2 more
core +6 more sources
Google PageRank as mean playing time for pinball on the reverse web [PDF]
, 2005 It is known that the output from Google's PageRank algorithm may be interpreted as (a) the limiting value of a linear recurrence relation that is motivated by interpreting links as votes of confidence, and (b) the invariant measure of a teleporting ...
Higham, D.J.
core +4 more sources
A Scientific Paper Recommendation Framework Based on Multi-Topic Communities and Modified PageRank
IEEE Access, 2023 Personalized PageRank is a variant of PageRank, widely developed for citation recommendation. However, the personalized PageRank that works with a vast amount and rich scholarly data still results in information overload. Sometimes, junior scholars still
Agung Hadhiatma +2 more
doaj +1 more source
Cache-Efficient Approach for Index-Free Personalized PageRank
IEEE Access, 2023 Personalized PageRank (PPR) measures the importance of vertices with respect to a source vertex. Since real-world graphs are evolving rapidly, PPR computation methods need to be index-free and fast.
Kohei Tsuchida +3 more
doaj +1 more source
A Scalable Deep Network for Graph Clustering via Personalized PageRank
Applied Sciences, 2022 Recently, many models based on the combination of graph convolutional networks and deep learning have attracted extensive attention for their superior performance in graph clustering tasks. However, the existing models have the following limitations: (1)
Yulin Zhao +5 more
doaj +1 more source
Identifying diabetes-related important protein targets with few interacting partners with the PageRank algorithm [PDF]
Royal Society Open Science, 2015 Diabetes is a growing concern for the developed nations worldwide. New genomic, metagenomic and gene-technologic approaches may yield considerable results in the next several years in its early diagnosis, or in advances in therapy and management. In this
Vince I. Grolmusz
doaj +1 more source
A New BAT and PageRank Algorithm for Propagation Probability in Social Networks
Applied Sciences, 2022 Social networks have increasingly become important and popular in modern times. Moreover, the influence of social networks plays a vital role in various organizations, including government organizations, academic research organizations and corporate ...
Wei-Chang Yeh +5 more
doaj +1 more source
Robust Hierarchical Overlapping Community Detection With Personalized PageRank
IEEE Access, 2020 Community detection is a fundamental task in graph mining. Despite the fact that most of existing community detection methods are devoted to finding disjoint community structure, communities often overlap with each other and are recursively organized in ...
Yinglong Zhang +6 more
doaj +1 more source