• HIN2Vec

  • Referenced in 6 articles [sw37750]
  • HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning. In this paper ... representation learning framework, namely HIN2Vec, for heterogeneous information networks (HINs). The core of the proposed...
  • HeteSpaceyWalk

  • Referenced in 1 article [sw39745]
  • Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. Heterogeneous information network (HIN) embedding ... order Markov chain process, and present a heterogeneous personalized spacey random walk to efficiently...
  • JAM

  • Referenced in 1 article [sw32391]
  • JavaScript Agent Machine. Heterogeneous information networks require a unified agent processing platform, which...
  • PTE

  • Referenced in 7 articles [sw37756]
  • Predictive Text Embedding through Large-scale Heterogeneous Text Networks. Unsupervised text embedding methods, such ... deep learning architectures such as convolutional neural networks, these methods usually yield inferior results when ... fully unsupervised way, without leveraging the labeled information available for the task. Although ... occurrence information are first represented as a large-scale heterogeneous text network, which is then...
  • SEMINT

  • Referenced in 15 articles [sw00845]
  • based on neural networks to assist in identifying attribute correspondences in heterogeneous databases. SEMINT supports ... database systems and utilizes both schema information and data contents to produce rules for matching...
  • MPICH-G2

  • Referenced in 35 articles [sw02373]
  • level management of critical aspects of the heterogeneous environment. As part of an investigation ... collective operations, are configured to exploit network topology information. The library also exploits MPI constructs...
  • NetSpam

  • Referenced in 0 articles [sw25955]
  • NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media. Nowadays ... modeling review data sets as heterogeneous information networks to map spam detection procedure into...
  • TM-DRD

  • Referenced in 0 articles [sw26073]
  • product is modeled as a heterogeneous review information network with the feature nodes. The classification...
  • DRaWR

  • Referenced in 0 articles [sw15561]
  • nodes of a large, heterogeneous network of biological information. Our method involves a random walk...
  • SA-cluster

  • Referenced in 10 articles [sw06867]
  • information networks have become available for analysis, including social networks, road networks, sensor networks, biological ... networks, etc. Graph clustering has shown its effectiveness in analyzing and visualizing large networks ... ignore the vertex properties which are often heterogeneous. Recently, a new graph clustering algorithm...
  • CREAM

  • Referenced in 1 article [sw02324]
  • information on the web The proliferation of the Internet has led to increasing semantic heterogeneity ... World Wide Web. Networking technology provides physical connectivity, but it does not ensure meaningful ... data exchange. Therefore, semantic interoperability among heterogeneous information sources continues to pose enormous challenges...
  • MetaNet

  • Referenced in 2 articles [sw01779]
  • provides information on immediate and future available communication capacity taking into account network configuration ... traffic. MetaNet supports these services over multiple heterogeneous networks. The MetaNet consists of a number...
  • Bio3d

  • Referenced in 4 articles [sw15706]
  • principal component analysis of heterogeneous structure data, and correlation network analysis from normal mode ... refer to the URLs below for more information...
  • SemQL

  • Referenced in 2 articles [sw42264]
  • multidatabase systems is allowing users to handle information from different databases that refer ... provide semantic networks so that multidatabase systems can detect and resolve semantic heterogeneities among component...
  • Inc-cluster

  • Referenced in 5 articles [sw06866]
  • information networks have become available for analysis, including social networks, road networks, sensor networks, biological ... networks, etc. Graph clustering has shown its effectiveness in analyzing and visualizing large networks ... ignore the vertex properties which are often heterogeneous. Recently, a new graph clustering algorithm...
  • eHIP

  • Referenced in 4 articles [sw01490]
  • indispensable for security-sensitive Wireless Sensor Networks (WSN). Unfortunately, conventional security approaches are unsuitable ... Intrusion Detection (CID) subsystem. Both subsystems provide heterogeneous mechanisms for different demands of security levels ... customized according to the relative importance of information contained in control messages and sensed data ... proposed to balance the tradeoff between network security and energy efficiency. In order to evaluate...
  • DPClusOST

  • Referenced in 1 article [sw40254]
  • world is incorporating highly connected heterogeneous data due to information sharing through computer and communication ... proposed software tool using an example network of metabolites collected from KNApSAcK database. This tool...
  • Biomine

  • Referenced in 2 articles [sw28409]
  • links between biological entities using network models of heterogeneous databases. BACKGROUND: Biological databases contain large ... weighted based on their type, reliability, and informativeness. We present Biomine and evaluate its performance...
  • MinEX

  • Referenced in 2 articles [sw10479]
  • dynamic partitioner for grid computing applications. The Information Power Grid (IPG) being developed by NASA ... that hides the intricacies of a highly heterogeneous environment and yet maintains adequate security ... connected by a high-speed asynchronous interconnection network...
  • DenseFusion

  • Referenced in 1 article [sw32554]
  • complementary data sources. Prior works either extract information from the RGB image and depth separately ... from RGB-D images. DenseFusion is a heterogeneous architecture that processes the two data sources ... individually and uses a novel dense fusion network to extract pixel-wise dense feature embedding...