Three partition refinement algorithms
SIAM Journal on Computing
Efficient management of transitive relationships in large data and knowledge bases
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
A compression technique to materialize transitive closure
ACM Transactions on Database Systems (TODS)
Reachability and distance queries via 2-hop labels
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Stack-based algorithms for pattern matching on DAGs
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Dual Labeling: Answering Graph Reachability Queries in Constant Time
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Fast and practical indexing and querying of very large graphs
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Efficiently answering reachability queries on very large directed graphs
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
3-HOP: a high-compression indexing scheme for reachability query
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
SCARAB: scaling reachability computation on large graphs
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
TF-Label: a topological-folding labeling scheme for reachability querying in a large graph
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Simple, fast, and scalable reachability oracle
Proceedings of the VLDB Endowment
Benchmarking graph-processing platforms: a vision
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
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Graph reachability is a fundamental research problem that finds its use in many applications such as geographic navigation, bioinformatics, web ontologies and XML databases, etc. Given two vertices, u and v, in a directed graph, a reachability query asks if there is a directed path from u to v. Over the last two decades, many indexing schemes have been proposed to support reachability queries on large graphs. Typically, those schemes based on chain or tree covers work well when the graph is sparse. For dense graphs, they still have fast query time but require large storage for their indices. In contrast, the 2-Hop cover and its variations/extensions produce compact indices even for dense graphs but have slower query time than those chain/tree covers. In this paper, we propose a new indexing scheme, called Path-Hop, which is even more space-efficient than those schemes based on 2-Hop cover and yet has query processing speed comparable to those chain/tree covers. We conduct extensive experiments to illustrate the effectiveness of our approach relative to other state-of-the-art methods.