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The shortest path is not always a straight line: Leveraging semi-metricity in graph analysis

Summary: Introduces the metric backbone: the smallest subgraph preserving all-pairs shortest paths; exploits semi-metricity to prune edges for large graphs. Presents a distributed heuristic; shows 6.7x speedups in Neo4j and 6x in Giraph on large real graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11356
Venue
VLDB
Year
2016
Pagerank
4.5932982e-05
Overall Rank
8,070 | 43.86%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
3,342 P2H: Efficient Distance Querying on Road Networks by Projected Vertex Separators 2021 SIGMOD 7.197276e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
4 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0019005923
37 Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud 2012 VLDB 0.0007522744
388 Graph Summarization with Bounded Error 2008 SIGMOD 0.00024662272
506 On Graph Query Optimization in Large Networks 2010 VLDB 0.00021475362
1,579 Query Preserving Graph Compression 2012 SIGMOD 0.00011283792
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