Creating a portable, high-level graph analytics paradigm for compute and data-intensive applications.
Robert SearlesStephen HerbeinTravis JohnstonMichela TauferSunita ChandrasekaranPublished in: Int. J. High Perform. Comput. Netw. (2019)
Keyphrases
- high level
- low level
- learning analytics
- graph theory
- graph partitioning
- connected components
- random walk
- data mining
- weighted graph
- lightweight
- programming language
- structured data
- graph representation
- spanning tree
- graph model
- graph mining
- case study
- graph structure
- social media
- low level features
- bipartite graph
- databases
- data management
- graph theoretic
- data intensive
- dependency graph
- graph based algorithm