Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming
Summary: SymBi enables symmetric continuous subgraph matching on dynamic graphs with bidirectional dynamic programming. It replaces the spanning-tree filter with a DAG-based auxiliary structure, enabling stronger pruning and up to three orders of magnitude faster performance than TurboFlux on real and synthetic datasets. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Seunghwan Min (Seoul National University)
- 2. Sung Gwan Park (Seoul National University)
- 3. Kunsoo Park (Seoul National University)
- 4. Dora Giammarresi (University of Roma Tre)
- 5. Giuseppe F. Italiano (Libera Università Internazionale degli Studi Sociali)
- 6. Wook-Shin Han (Pohang University of Science and Technology)
BibTeX Citation
@article{min_vldb21,
title = {{Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming}},
author = {Min, Seunghwan and Park, Sung Gwan and Park, Kunsoo and Giammarresi, Dora and Italiano, Giuseppe F. and Han, Wook-Shin},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {8},
pages = {1298--1310},
doi = {10.14778/3457390.3457395},
url = {https://doi.org/10.14778/3457390.3457395},
year = {2021}
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