In implementations of higher-order graph clustering and embedding, a computing device receives a heterogeneous graph representing a network. The heterogeneous graph includes nodes that each represent a network entity and edges that each represent an association between two of the nodes in the ...
typed-graphlet 其实就是传统 graphlet 加上节点类型组成的。例如下图,将三种 untyped-graphlet 推广成了 typed-graphlet,颜色代表节点类型: typed graphlet 类似从 graphlet 到 typed-graphlet 的推广,作者将同质图中的 conductance 推广到了 typed-graphlet conductance,为此引入了许多中间概念,包括(受篇幅限制,...
这篇文章发表于NIPS 2020,主要内容是将谱聚类应用到有向图上,并且用于检测“高阶结构(higher-order structure)”。知乎上已经有相关的论文笔记,但笔者在复现时,由于相关知识储备不足,仍然遇到一些问题,将…
In particular, we propose two constructions, one based upon a hierarchical clustering of the domain, and another based on the spectrum of the graph Laplacian. We show through experiments that for low-dimensional graphs it is possible to learn convolutional layers with a number of parameters ...
J, graph shows the ratio change of oligomer/monomer in the experiment. Oligomerization/Higher Order Clustering of Smo Is Required for High Level Activity of Hh Given the C-tail conformational switch as a key determinant for Smo activation (9), it is conceivable that, in the response to Hh,...
This is useful for algorithms where we want to label every node with some information computed from its neighborhood. For example, some clustering algorithms start by assigning each node its own cluster, then repeatedly joining nodes to the most popular cluster in their immediate neighborhood, until...
Protein interactions form a complex dynamic molecular system that shapes cell phenotype and function; in this regard, network analysis is a powerful tool for studying the dynamics of cellular processes. Current models of protein interaction networks are
et al. Optogenetic protein clustering and signaling activation in mammalian cells. Nat. Methods 10, 249–252 (2013). Article CAS PubMed Google Scholar Qian, K. et al. A simple and efficient system for regulating gene expression in human pluripotent stem cells and derivatives. Stem Cells 32,...
Spectral clustering is a particularly powerful tech-nique for computing the clusters when the pairwise similari-ties are encoded into the adjacency matrix of a graph. How-ever, many graph-like datasets are more naturally describedby hig... 收藏 分享 下载 举报 用客户端打开 ...
In the last two decades network science has largely contributed to understanding how collective behaviors emerge in complex systems. Representing and characterizing the intricate pattern of interactions among the constituents of a complex system as a graph1,2has allowed to investigate how the system’s...