Managing Large Graphs on Multi-Cores with Graph Awareness.
Vijayan PrabhakaranMing WuXuetian WengFrank McSherryLidong ZhouMaya HaradasanPublished in: USENIX Annual Technical Conference (2012)
Keyphrases
- graph theory
- graph representation
- weighted graph
- graph matching
- graph structure
- adjacency matrix
- graph construction
- graph theoretic
- directed graph
- graph classification
- labeled graphs
- graph structures
- graph mining
- graph clustering
- graph databases
- graph theoretical
- subgraph isomorphism
- undirected graph
- series parallel
- graph properties
- graph search
- graph partitioning
- graph model
- bipartite graph
- graph edit distance
- random graphs
- graph representations
- graph isomorphism
- graph data
- maximum independent set
- maximum clique
- edge weights
- dense subgraphs
- dynamic graph
- graph kernels
- graph layout
- structural pattern recognition
- real world graphs
- structured data
- graph drawing
- graph transformation
- graph patterns
- attributed graphs
- directed acyclic
- spanning tree
- maximum common subgraph
- connected dominating set
- adjacency graph
- web graph
- random walk
- connected components
- social graphs
- average degree
- connected graphs
- community discovery
- finding the shortest path
- reachability queries
- evolving graphs
- neighborhood graph
- graph embedding
- shortest path
- inexact graph matching
- proximity graph
- spectral decomposition
- maximal cliques
- disk resident
- topological information
- association graph
- frequent subgraphs
- vertex set
- minimum spanning tree
- quasi cliques
- dominating set
- attributed relational graph
- strongly connected