An improved algorithm for transitive closure on acyclic digraphs
Theoretical Computer Science - Thirteenth International Colloquim on Automata, Languages and Programming, Renne
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)
Introduction to algorithms
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
Fast computing reachability labelings for large graphs with high compression rate
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
On incremental maintenance of 2-hop labeling of graphs
Proceedings of the 17th international conference on World Wide Web
An Efficient Algorithm for Answering Graph Reachability Queries
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
3-HOP: a high-compression indexing scheme for reachability query
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Finding maximal cliques in massive networks by H*-graph
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Path-hop: efficiently indexing large graphs for reachability queries
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
GRAIL: scalable reachability index for large graphs
Proceedings of the VLDB Endowment
Path-tree: An efficient reachability indexing scheme for large directed graphs
ACM Transactions on Database Systems (TODS)
A memory efficient reachability data structure through bit vector compression
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Decomposing DAGs into spanning trees: A new way to compress transitive closures
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Finding maximal cliques in massive networks
ACM Transactions on Database Systems (TODS)
Fast computation of reachability labeling for large graphs
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
SCARAB: scaling reachability computation on large graphs
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Efficient processing of distance queries in large graphs: a vertex cover approach
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Truss decomposition in massive networks
Proceedings of the VLDB Endowment
K-reach: who is in your small world
Proceedings of the VLDB Endowment
Triangle listing in massive networks
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011
Simple, fast, and scalable reachability oracle
Proceedings of the VLDB Endowment
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Reachability querying is a basic graph operation with numerous important applications in databases, network analysis, computational biology, software engineering, etc. Although many indexes have been proposed to answer reachability queries, most of them are only efficient for handling relatively small graphs. We propose TF-label, an efficient and scalable labeling scheme for processing reachability queries. TF-label is constructed based on a novel topological folding (TF) that recursively folds an input graph into half so as to reduce the label size, thus improving query efficiency. We show that TF-label is efficient to construct and propose efficient algorithms and optimization schemes. Our experiments verify that TF-label is significantly more scalable and efficient than the state-of-the-art methods in both index construction and query processing.