BLADYG (Block-Centric Framework for the Analysis of LArge DYnamic Graphs) is a Block-centric framework for the analysis of large and dynamic graphs. It is built on top of Akka framework.
Please refer to the paper to find all the information about BLADYG.
- Source: BLADYG
MR-SimLab is a distributed method for representative subgraph selection based on MapReduce.
Please refer to the paper to find all the information about MR-SimLab.
- Source: MR-SimLab
MRGRAM (MapReduce GRAph Mining ) is a MapReduce-based framework for distributed frequent subgraph mining. MRGRAM is built on top of Hadoop and it provides a data partitioning technique that considers data characteristics. It uses the densities of graphs in order to partition the input data.
Please refer to the paper to find all the information about MRGRAM.
- Source: MRGRAM
ORHadoop is a distributed framework for shortest path resolution in large-scale networks.
Please refer to the paper to find all the information about algorithms.
- Source: ORHadoop
MIL-ALIGN is used to predict bacterial ionizing radiation resistance using a multiple-instance learning model. It runs on a Windows or a UNIX platform that contains a Java Runtime Environment (JRE).
Please refer to the paper to find all the information about MIL-ALIGN.
- Source: MIL-ALIGN
PREFON_META is used to predict functional domains of metagenomics data.
- Source: PREFON_META