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...
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 ...
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 ...
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...
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 & ...
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 ...
CIKM2019GNN图神经网络论文CIKM19-Graph Convolutional Networks with Motif-based Attention.pdf 2019-10-26上传 暂无简介 文档格式: .pdf 文档大小: 9.4M 文档页数: 11页 顶/踩数: 0/0 收藏人数: 0 评论次数: 0 文档热度: 文档分类: IT计算机--linux/Unix相关 ...
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,...
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 ...
are significantly overexpressed in the analyzed networks in comparison with random networks. With a recently developed motif-based clustering algorithm we separate the effective connectivity network in two main clusters which reveal its higher-order organization with a strong information flow between posterio...