Graph Analytics on Massive Collections of Small Graphs.
Dritan BlecoYannis KotidisPublished in: EDBT (2014)
Keyphrases
- graph theory
- graph representation
- graph structure
- graph theoretic
- graph matching
- graph databases
- weighted graph
- graph construction
- massive graphs
- graph model
- adjacency matrix
- labeled graphs
- directed graph
- graph structures
- graph search
- graph mining
- graph properties
- graph data
- graph theoretical
- graph clustering
- graph transformation
- graph partitioning
- random graphs
- series parallel
- bipartite graph
- maximum common subgraph
- graph kernels
- graph classification
- dynamic graph
- minimum spanning tree
- structural pattern recognition
- data mining
- undirected graph
- subgraph isomorphism
- reachability queries
- graph representations
- finding the shortest path
- spanning tree
- attributed graphs
- structured data
- data analysis
- graph isomorphism
- connected dominating set
- learning analytics
- adjacency graph
- seed set
- graph drawing
- graph layout
- graph patterns
- topological information
- maximum clique
- community discovery
- graph embedding
- data management
- web graph
- business intelligence
- social networks
- metadata
- evolving graphs
- document collections
- pattern mining
- big data
- dense subgraphs
- edge weights
- small world
- social graphs
- real world graphs