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Given a large network, local community detection aims at finding the community that contains a set of query nodes and also maximizes (minimizes) a goodness metric. This problem has recently drawn intense research interest. Various goodness metrics have been proposed. However, most existing metrics tend to include irrelevant subgraphs in the detected local(More)
Multi-view graph clustering aims to enhance clustering performance by integrating heterogeneous information collected in different domains. Each domain provides a different view of the data instances. Leveraging cross-domain information has been demonstrated an effective way to achieve better clustering results. Despite the previous success, existing(More)
Given a large graph and a query node, finding its k-nearest-neighbor (kNN) is a fundamental problem. Various random walk based measures have been developed to measure the proximity (similarity) between nodes. Existing algorithms for the random walk based top-k proximity search can be categorized as global and local methods based on their search strategies.(More)
A printed document can provide intrinsic features of the printer so as to distinguish which printer it comes from. But how to extract the intrinsic features is critical in printer forensics. In this paper, the page document's geometric distortion is extracted as the intrinsic features, and a printer forensics method based on the distortion is proposed.(More)
Epistasis (gene-gene interaction) detection in large-scale genetic association studies has recently drawn extensive research interests as many complex traits are likely caused by the joint effect of multiple genetic factors. The large number of possible interactions poses both statistical and computational challenges. A variety of approaches have been(More)
This paper presents a parallel texture synthesis over arbitrary surfaces, generating consistent and spatially-varying visual appearances. A novel scaling field is represented to measure the geometry-aware appearance or geometric deformation, therefore the generated textures locally agree with the geometric structure and maintain the coherence during shape(More)
Genome-wide expression quantitative trait loci (eQTL) studies have emerged as a powerful tool to understand the genetic basis of gene expression and complex traits. The traditional eQTL methods focus on testing the associations between individual single-nucleotide polymorphisms (SNPs) and gene expression traits. A major drawback of this approach is that it(More)
Finding dense subgraphs is an important problem that has recently attracted a lot of interests. Most of the existing work focuses on a single graph (or network<sup>1</sup>). In many real-life applications, however, there exist dual networks, in which one network represents the physical world and another network represents the conceptual world. In this(More)
Finding the densest subgraph in a single graph is a fundamental problem that has been extensively studied. In many emerging applications, there exist <i>dual</i> networks. For example, in genetics, it is important to use protein interactions to interpret genetic interactions. In this application, one network represents <i>physical</i> interactions among(More)
HumMod [Hester et al. 2011] models interactions between the cardiovascular, respiratory, renal, neural, endocrine, skeletal muscle, and metabolic physiologies. One of the difficulties which must be overcome with HumMod is the fact that the number of parameters is prohibitive in developing a clear and comprehensive view of the interactions between(More)