• DeepWalk

  • Referenced in 63 articles [sw39604]
  • words to graphs. DeepWalk uses local information obtained from truncated random walks to learn latent ... network, especially in the presence of missing information. DeepWalk’s representations can provide F1 scores...
  • ExonHunter

  • Referenced in 4 articles [sw23816]
  • framework, various sources of information are expressed as partial probabilistic statements about positions ... transparent handling of missing information and coping with the heterogeneous character of individual sources...
  • insight

  • Referenced in 6 articles [sw29806]
  • where otherwise functions to access these information are missing...
  • GLIMPSE

  • Referenced in 3 articles [sw12249]
  • evaluator that suspends when information is missing ... which suggests actions to find that missing information...
  • ProjE

  • Referenced in 3 articles [sw34444]
  • validity of information in a knowledge graph and filling in its missing parts are crucial ... model called ProjE that fills-in missing information in a knowledge graph by learning joint...
  • missSBM

  • Referenced in 3 articles [sw29258]
  • than 1 or 0 due to missing information between node pairs), it is possible ... model from network data sampled under various missing data conditions, as described in Tabouy, Barbillon...
  • fastGapFill

  • Referenced in 2 articles [sw30407]
  • structured manner and as such highlight missing information. Such gaps can be filled algorithmically. Scalability ... toolbox that permits the identification of candidate missing knowledge from a universal biochemical reaction database...
  • OntoDebug

  • Referenced in 2 articles [sw24974]
  • OntoDebug is able to collect the missing information by asking the user a sequence...
  • ASPEX

  • Referenced in 1 article [sw33074]
  • typed, and makes no assumptions about missing information. The sib_phase program is slower, uses ... allele frequencies to reconstruct missing information, and is tailored for data sets where parents...
  • PROC CALIS

  • Referenced in 5 articles [sw12071]
  • your data sets contain random missing data, the full information maximum likelihood (FIML) method...
  • MASTOR

  • Referenced in 2 articles [sw23134]
  • analysis, including individuals with partially missing data, while properly accounting for the dependence among them ... full use of the relationship information to incorporate partially missing data in the analysis while ... dependence. Individuals with available phenotype and covariate information who are not genotyped but have genotyped ... genotyped but are missing covariate or phenotype information can contribute to the analysis. MASTOR...
  • SINE

  • Referenced in 1 article [sw32344]
  • complete. Thus, their performance is vulnerable to missing data and suffers from poor scalability ... information and mitigate negative effects of missing information on representation learning. A stochastic gradient descent ... clustering, and link prediction, under settings with missing links and node attributes. SINE is also...
  • IVEware

  • Referenced in 19 articles [sw07448]
  • aggregate of different income components. Components with missing values are imputed when they cannot ... help of other variables or other information in the questionnaire of the current or previous...
  • NestedCohort

  • Referenced in 2 articles [sw11301]
  • NestedCohort: Survival Analysis for Cohorts with Missing Covariate Information. Estimate hazard ratios, survival curves...
  • DBMS/COPY

  • Referenced in 2 articles [sw27858]
  • file, variable labels, value labels, and information on missing values, DBMS/COPY (Version 3.0) offers ... relatively small amount of overhead and information loss. This contribution is intended to give...
  • ETCH

  • Referenced in 3 articles [sw07636]
  • using type reconstruction to recover missing channel type information, allowing strong static type checking. Thus ... some cases errors that SPIN misses altogether. This allows for more rapid development of Promela...
  • Reconstructor

  • Referenced in 1 article [sw32101]
  • three-valued logics to represent lack of information in empirical scientific contexts. In this article ... which the denotation of some terms is missing) into scientific metatheory ... order to represent cases of missing information. I specify the paracomplete semantics built into Reconstructor...
  • GLFM

  • Referenced in 1 article [sw35679]
  • either for new observations or for missing information in the original data, as well...
  • bmem

  • Referenced in 3 articles [sw07439]
  • compared under MCAR, MAR, and MNAR missing data mechanisms through simulation studies. Both ... conditions, they may provide useful information for exploring missing mechanisms...
  • dlookr

  • Referenced in 3 articles [sw28000]
  • transformation. Data diagnostics provides information and visualization of missing values and outliers and unique ... quality of your data. Data exploration provides information and visualization of the descriptive statistics ... supports binning for categorizing continuous variables, imputates missing values and outliers, resolving skewness...