• CRAN

  • Referenced in 570 articles [sw04351]
  • project homepage for further information. CRAN is a network of ftp and web servers around...
  • KEGG

  • Referenced in 281 articles [sw13866]
  • proteins (genomic information) and chemical substances (chemical information) that are integrated with the knowledge ... diagrams of interaction, reaction and relation networks (systems information). It also contains disease and drug...
  • Datalog

  • Referenced in 293 articles [sw20023]
  • found new application in data integration, information extraction, networking, program analysis, security, and cloud computing...
  • FPINNs

  • Referenced in 49 articles [sw40570]
  • fPINNs: Fractional Physics-Informed Neural Networks. Physics-informed neural networks (PINNs) are effective in solving...
  • DeepXDE

  • Referenced in 66 articles [sw32456]
  • present an overview of physics-informed neural networks (PINNs), which embed a PDE into...
  • Graphs

  • Referenced in 109 articles [sw12277]
  • with a network (graph). A so-called preprocessing algorithm may compute certain information (a data ... many applications in areas such as transportation, networking, and social science, this problem has been ... database and information systems researchers investigate materialization tradeoffs, query processing on spatial networks, and reachability...
  • ARACNE

  • Referenced in 38 articles [sw17200]
  • wider range of network deconvolution problems. This method uses an information theoretic approach to eliminate ... Results: We prove that ARACNE reconstructs the network exactly (asymptotically) if the effect of loops ... Networks. Application to the deconvolution of genetic networks in human B cells demonstrates ARACNE ... effects of misestimation of mutual information on network reconstruction, and show that algorithms based...
  • AntNet

  • Referenced in 65 articles [sw11975]
  • agents, concurrently explore the network and exchange collected information. The communication among the agents...
  • SNDlib

  • Referenced in 75 articles [sw00884]
  • source of information and resources related to fixed network design, and to provide a contact...
  • NSFnets

  • Referenced in 26 articles [sw42059]
  • NSFnets (Navier-Stokes Flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations ... employ physics-informed neural networks (PINNs) to simulate the incompressible flows ranging from laminar...
  • NeuralPDE.jl

  • Referenced in 38 articles [sw39548]
  • solver package which consists of neural network solvers for partial differential equations using scientific machine ... learning (SciML) techniques such as physics-informed neural networks (PINNs) and deep BSDE solvers. This...
  • MPICH-G2

  • Referenced in 35 articles [sw02373]
  • collective operations, are configured to exploit network topology information. The library also exploits MPI constructs ... level discovery of, and adaptation to, both network topology and network quality-of-service mechanisms...
  • Graphviz

  • Referenced in 93 articles [sw01283]
  • representing structural information as diagrams of abstract graphs and networks. It has important applications...
  • DeepWalk

  • Referenced in 71 articles [sw39604]
  • learning latent representations of vertices in a network. These latent representations encode social relations ... words to graphs. DeepWalk uses local information obtained from truncated random walks to learn latent ... latent representations on several multi-label network classification tasks for social networks such as BlogCatalog ... view of the network, especially in the presence of missing information. DeepWalk’s representations...
  • MCODE

  • Referenced in 49 articles [sw35748]
  • relevant for protein networks. Protein interaction and complex information from the yeast Saccharomyces cerevisiae ... evaluation. Conclusion: Dense regions of protein interaction networks can be found, based solely on connectivity...
  • PINNsNTK

  • Referenced in 25 articles [sw42058]
  • neural tangent kernel perspective. Physics-informed neural networks (PINNs) have lately received great attention thanks...
  • SciANN

  • Referenced in 16 articles [sw38344]
  • scientific computations and physics-informed deep learning using artificial neural networks. In this paper ... scientific computing and physics-informed deep learning using artificial neural networks. SciANN uses the widely ... learning. SciANN is designed to abstract neural network construction for scientific computations and solution ... differential equations (PDE) using the physics-informed neural networks (PINN) architecture, therefore providing the flexibility...
  • SA-cluster

  • Referenced in 10 articles [sw06867]
  • Clustering large attributed information networks: an efficient incremental computing approach In recent years, many information...
  • InfoGAN

  • Referenced in 27 articles [sw40936]
  • describes InfoGAN, an information-theoretic extension to the Generative Adversarial Network that is able ... generative adversarial network that also maximizes the mutual information between a small subset...
  • MicroGrid

  • Referenced in 11 articles [sw09654]
  • virtual Grid environment – accurately modeling networks, resources, the information services (resource and network metadata) transparently ... exploiting a range of static network and dynamic application information. The best of these, profile ... scales well to online simulation of large networks of 6,000 nodes using 24 simulation...