GraphQ: Graph Query Processing with Abstraction Refinement - Scalable and Programmable Analytics over Very Large Graphs on a Single PC.
Kai WangGuoqing XuZhendong SuYu David LiuPublished in: USENIX Annual Technical Conference (2015)
Keyphrases
- query processing
- graph theory
- graph representation
- graph partitioning
- weighted graph
- graph structure
- graph model
- directed graph
- labeled graphs
- graph matching
- database systems
- graph databases
- data management
- adjacency matrix
- graph theoretic
- graph properties
- graph theoretical
- graph classification
- graph construction
- graph mining
- graph clustering
- subgraph isomorphism
- random graphs
- series parallel
- undirected graph
- graph representations
- graph data
- minimum spanning tree
- graph search
- evolving graphs
- bipartite graph
- data mining
- dynamic graph
- graph transformation
- graph isomorphism
- adjacency graph
- index structure
- spanning tree
- graph structures
- small world
- learning analytics
- graph mining algorithms
- connected graphs
- maximum cardinality
- structural pattern recognition
- graph kernels
- refinement step
- structured data
- connected components
- neighborhood graph
- polynomial time complexity
- reachability queries
- edge weights
- business intelligence
- query optimization