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Neighborhood Based Fast Graph Search in Large Networks
Summary: Proposes Ness, a neighborhood-based similarity for top-k approximate subgraph/graph matching in large labeled networks, avoiding isomorphism and edit-distance. An information-propagation model embeds networks into vectors for fast indexing; robust to noise, with subgraph match NP-hard, graph similarity polynomial.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 4442
- Venue
- SIGMOD
- Year
- 2011
- Pagerank
- 0.00012838714
- Overall Rank
- 1,280 | 91.11%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 749 |
TurboISO: Towards UltraFast and Robust Subgraph Isomorphism Search in Large Graph Databases |
2013 |
SIGMOD |
0.00017193776 |
| 1,626 |
Fast and Exact Top-k Search for Random Walk with Restart |
2012 |
VLDB |
0.0001108491 |
| 1,630 |
An In-depth Comparison of Subgraph Isomorphism Algorithms in Graph Databases |
2013 |
VLDB |
0.00011073047 |
| 1,962 |
Exemplar Queries: Give me an Example of What You Need |
2014 |
VLDB |
9.9463687e-05 |
| 2,118 |
Efficient SimRank-based Similarity Join Over Large Graphs |
2013 |
VLDB |
9.5036922e-05 |
| 2,557 |
NeMa: Fast Graph Search with Label Similarity |
2013 |
VLDB |
8.5484449e-05 |
| 3,208 |
VIIQ: Auto-Suggestion Enabled Visual Interface for Interactive Graph Query Formulation |
2015 |
VLDB |
7.3837748e-05 |
| 7,290 |
Searching with XQ: the eXemplar Query Search Engine |
2014 |
SIGMOD |
4.768315e-05 |
| 8,209 |
Mining Top-k Pairs of Correlated Subgraphs in a Large Network |
2020 |
VLDB |
4.5537353e-05 |
| 9,231 |
Efficiently Counting Triangles in Large Temporal Graphs |
2025 |
SIGMOD |
4.3648789e-05 |
| 11,569 |
Simulation-based Approximate Graph Pattern Matching |
2020 |
SIGMOD |
4.1905499e-05 |
| 11,826 |
NED: An Inter-Graph Node Metric Based On Edit Distance |
2017 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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