这篇论文的核心idea其实还是比较简单的,就是将Nibble算法拓展到高阶结构(亦可叫做motif)上,同年的KDD会议还有另外两篇想法相似的论文(一篇是Local Higher-Order Graph Clustering,还有一篇是Local Algorithm for User Action Prediction Towards Display),说明高阶网络结构这个领域在不断地被探索,如果能够很好地应用到实际...
Finally, we consider a hierarchical benchmark, the Ravasz-Barabási network model43with two layers, which naturally provides a model with a hierarchy between the center and peripheral nodes. The clustering proposed by LS method groups explicitly reflects the hierarchical nature of the model by groupin...
GraphClust: alignment-free structural clustering of local RNA secondary structures. Clustering according to sequence-structure similarity has now become a generally accepted scheme for ncRNA annotation. Its application to complete genomic ... Steffen,Heyne,Fabrizio,... - 《Bioinformatics》 被引量: 53发...
Traditional models of human brain activity often represent it as a network of pairwise interactions between brain regions. Going beyond this limitation, recent approaches have been proposed to infer higher-order interactions from temporal brain signals i
Hu and Yang12 proposed a method in which the act of identifying user communities in the social network was performed by clustering the edges between users in the social network graph. In this way, for each pair of edges that have a common node at one end, the structural similarity is ...
It is worth noting that the hierarchical approach, with its structured pathway involving image retrieval, co-visibility, clustering, and local feature matching, stands as a testament to the evolution in the field, showcasing a simplicity married with efficacy, albeit with room for further ...
Machine Learning (ML) is divided into 3 main paradigms, namely: (a) supervised learning (such as neural networks, kernel machines, and Bayes classifiers); (b) self-organized or unsupervised learning (such as clustering, feature extraction, and Kohonen maps); and (c) reinforcement learning (suc...
Not all network adapters from vendors support RDMA. The following table lists those vendors (in alphabetical order) that offer certified RDMA adapters. However, there are hardware vendors not included in this list that also support RDMA. See theWindows Server Catalogto find adapters with the Storag...
In clustering by fast search and find of density peaks (CDP)4, cluster centers are characterized as points with higher local density and having large distance from any other local density. CDP uses a decision graph based approach to identify cluster centers, in a more intuitive way as compared...
Hu and Yang12 proposed a method in which the act of identifying user communities in the social network was performed by clustering the edges between users in the social network graph. In this way, for each pair of edges that have a common node at one end, the structural similarity is ...