• OpenCV

  • Referenced in 117 articles [sw11376]
  • algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human ... more than 47 thousand people of user community and estimated number of downloads exceeding...
  • CHAMP

  • Referenced in 2 articles [sw25774]
  • CHAMP. Parallelized implementation of modularity based community detection method, louvain with efficient filtering (ala CHAMP...
  • Karate Club

  • Referenced in 2 articles [sw32339]
  • package is to make community detection, node and whole graph embedding available to a wide...
  • SIAS-miner

  • Referenced in 2 articles [sw38343]
  • Data clustering, local pattern mining, and community detection in graphs are three mature areas...
  • robin

  • Referenced in 1 article [sw37155]
  • network found by one or more community detection algorithm to give indications about their reliability ... detects if the community structure found by a set of algorithms is statistically significant ... compares the different selected detection algorithms on the same network ... robin helps to choose among different community detection algorithms the one that better fits...
  • fcd

  • Referenced in 1 article [sw31980]
  • package fcd: Fused Community Detection. Efficient procedures for community detection in network studies, especially...
  • NSLPCD

  • Referenced in 1 article [sw39118]
  • using node significance Based label propagation community detection algorithm. Social networks like Twitter, Facebook have ... approach - Node Significance based Label Propagation Community Detection (NSLPCD) algorithm, which detects the topic faster ... which play an important role in topic detection. Based on these defined keywords, the keyword ... topic clusters in the form of communities. The experimental results using the real data...
  • PASCAL VOC

  • Referenced in 139 articles [sw36507]
  • workshop. There are five challenges: classification, detection, segmentation, action classification, and person layout. In this ... combined performance. We also analyse the community’s progress through time using the methods...
  • Sub2vec

  • Referenced in 1 article [sw41562]
  • suited to tasks such as community detection which are intuitively dependent on subgraphs. Here ... network mining tasks, like community detection and graph classification. We show that Sub2Vec gets significant...
  • NormalizedRicciFlow

  • Referenced in 1 article [sw41916]
  • Normalized discrete Ricci flow used in community detection. Complex network is a mainstream form ... unstructured data in real world. Detecting communities in complex networks bears a wide range...
  • Outlierdetection.jl

  • Referenced in 1 article [sw41885]
  • citizen in the Outlier- and Anomaly-Detection community. Why should you use this package? Provides...
  • CliquePercolationMethod-R

  • Referenced in 1 article [sw38783]
  • algorithm for finding overlapping communities within networks, introduced by Palla ... references). This implementation in R, firstly detects communities of size k, then creates a clique...
  • LinkBoost

  • Referenced in 1 article [sw29981]
  • well-known modularity measure used in community detection and minimizing a special case ... more links being predicted within a community than between communities. We design a boosting algorithm...
  • SpringVisCom

  • Referenced in 1 article [sw34807]
  • community structure (e.g. obtained using a community detection algorithm). The node layout is based ... charged particles, such that nodes in different communities repel each other. The code is implemented...
  • BegBunch

  • Referenced in 1 article [sw28475]
  • contribution to the C bug detection community: two benchmark suites that allow developers and users ... qualitative and quantitative performance of a bug detection tool. BegBunch has been tested...
  • CliquePercolation

  • Referenced in 1 article [sw38782]
  • Clique Percolation for Networks. Clique percolation community detection for weighted and unweighted networks as well...
  • EGAnet

  • Referenced in 1 article [sw42200]
  • Graph (TMFG) and a weighted network community detection algorithm. A bootstrap method for verifying...
  • modMax

  • Referenced in 1 article [sw17702]
  • package modMax: Community Structure Detection via Modularity Maximization. The algorithms implemented here are used ... detect the community structure of a network. These algorithms follow different approaches...
  • KITTI

  • Referenced in 40 articles [sw30418]
  • stereo, optical flow, visual odometry, 3D object detection and 3D tracking. For this purpose ... world benchmarks with novel difficulties to the community...
  • specbip

  • Referenced in 2 articles [sw38375]
  • bipartizing a network and detecting a large anti-community. This function approximates a given network ... used to detect the presence of a large anti-community in a network...