Rasaq OtunbaJessica LinPavel SeninPacific-asia Conference on Knowledge Discovery & Data MiningR. Otunba, J. Lin, and P. Senin. Mbpd: Motif-based period detection. In Trends and Applications in Knowledge Discovery and Data Mining, pages 793-804. Springer, 2014.Otunba, R., Lin, J., and ...
log likelihood ration (LLR) 以及 E-value是MEME用于搜索功能域排序的两个重要的依据。llr = log ( Pr ( sites | motif ) / Pr (sites | back ) )。其中,Pr ( sites | motif ) 是功能域序列每个残基出现的可能性,集合起来,就是一个距阵...
Spectral embedding with motif adjacency matrices Motif-based spectral clustering The methods are all designed to run quickly on large sparse networks, and are easy to install and use. Branches The main branch contains stable versions. The develop branch may be unstable, and is for development purpo...
In Section 3, we define the motifs of multilayer networks and propose a motif- based modularity that is suitable for heterogeneous multilayer networks, and propose a community detection algorithm by motif-based modularity. In Section 4, we use evaluation indicators to measure the algorithmic ...
In this paper, we propose a novel motif-based rule discovery method, which utilizes motif discovery to accurately extract frequently occurring consecutive subsequences, i.e. motifs, as antecedents/consequents. It then investigates the underlying relationships between motifs by matching motifs as rule ...
Ramprasad, Accelerated mate- rials property predictions and design using motif-based fingerprints, Phys- ical Review B 92 (1) (2015) 014106.T.D. Huan, A. Mannodi-Kanakkithodi, R. Ramprasad, Accelerated materials property predictions and design using motif-based fingerprints, Phys. Rev. B ...
MotifNet: a motif-based Graph Convolutional Network for directed graphs Deep learning on graphs and in particular, graph convolutional neural networks, have recently attracted significant attention in the machine learning commu... F Monti,K Otness,MM Bronstein - IEEE 被引量: 7发表: 2018年 ...
To bridge this gap, we propose Motif-based Graph Self-supervised Learning (MGSSL) by introducing a novel self-supervised motif generation framework for GNNs. First, for motif extraction from molecular graphs, we design a molecule fragmentation method that leverages a retrosynthesis-based algorithm ...
Motif-based resiliency assessment for cyber-physical power systems under various hazards doi:10.1049/cps2.12103cyber-physical systemsgraph theoryJohn Wiley & Sons, LtdIET Cyber-Physical Systems: Theory & ApplicationsHamed M. BinqadhiElectrical Engineering Department King Fahd University of Petroleum & ...
Wu W,Han Y,Li D.Motif-based classification in journal citation networks.Journal of Software Engineering and Applications. 2008Wu W,Han Y,Li D. Motif-based classification in journal citation networks[J].Journal of Software Engineering and Applications,2008.53-59.doi:10.4236/jsea.2008.11008.Wu W,...