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Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction
Summary: CaLiG tightens candidate maintenance to shrink backtracking in continuous subgraph matching over streaming graphs. KSS splits queries into kernel and shell vertices, enabling backtracking-free incremental matches by joining shell candidates; yields orders-of-magnitude speedups versus prior work.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
hd30f05b71720bc36
Venue
SIGMOD
Year
2023
Pagerank
6.5130839e-05
Overall Rank
4,589 | 69.16%
DOI
10.1145/3588695
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{yang_sigmod23,
title = {{Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction}},
author = {Yang, Rongjian and Zhang, Zhijie and Zheng, Weiguo and Yu, Jeffrey Xu},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588695},
url = {https://dl.acm.org/doi/10.1145/3588695},
year = {2023}
}
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Pagerank
4,077
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
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193
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2002
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Graphs-at-a-time: Query Language and Access Methods for Graph Databases
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CECI: Compact Embedding Cluster Index for Scalable Subgraph Matching
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2014
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TurboFlux: A Fast Continuous Subgraph Matching System for Streaming Graph Data
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RisGraph: A Real-Time Streaming System for Evolving Graphs to Support Sub-millisecond Per-update Analysis at Millions Ops/s
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iTurboGraph: Scaling and Automating Incremental Graph Analytics
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