One popular technique to cope with overlapping community detection is matrix factorization (MF). However, existing MF approaches only make use of the existence of a link, but ignore the implicit preference info
读书笔记:Overlapping Community Detection at Scale: A Nonnegative Matrix Factorization Approach,程序员大本营,技术文章内容聚合第一站。
5c). Most of the overlapping GSs (n = 78) were downregulated in the genotype contrast and upregulated in the treatment contrast, indicating a rescue-like effect of Li on these GSs (Fig. 5d). Fig. 5: Lithium has rescue-like effect on disrupted transcriptional programs in Shank3∆11...
Edge embedding: it maps each edge in a given network into a low-dimensional vector. Knowledge graphs, link prediction, and community detection are among domain applications of edge embedding. In knowledge graphs, edge embeddings are used to preserve relations between each head and tail entities pai...
Wang F, Li T, Wang X, Zhu S, Ding C (2011) Community discovery using nonnegative matrix factorization. Data Min Knowl Discov 22(3):493–521 MathSciNetMATHGoogle Scholar Zhang Y, Yeung DY (2012) Overlapping community detection via bounded nonnegative matrix tri-factorization. In: Proceedings...
art algorithms for overlapping community detection. In addition, we present a new dataset of the DBLP computer science bibliography network with richer meta-data and verifiable ground-truth knowledge, which can foster future research in community finding and interpretation of communities in large ...
in attempting to hyphenate separation techniques with MALDI-MS, which may significantly expand the applications of MALDI-MS in related areas, as in the off-line (LC)-MALDI-MS method developed by Li et al.[74], in which the undesired effects of signal suppressing and overlapping due to PC ...
On a population level, both outcomes were represented independently in two partially overlapping populations of neurons, resulting in a multiplexed representation. This finding is important, as it suggests that striatal reward-related activity might not reflect the integrated value, but rather, specific ...
Multiplex networks convey more valuable information than single-layer networks; thus, performing the community detection task involving these networks has
Spectral clustering is widely used for detecting clusters in networks for community detection, while a small change on the graph Laplacian matrix could bring a dramatic improvement. In this paper, we propose a dual regularized graph Laplacian matrix and then employ it to the classical spectral clust...