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A Semantics-aware Approach for Graph Edit Distance Estimation over Knowledge Graphs
Summary: KG-native GED estimation: SEABED is a semantics-aware GNN that models local semantic dependencies and global consistency between two knowledge graphs, unlike prior simple-graph GED predictors. Improves MAE up to 66.7% and accuracy up to 70.5% on real KGs, with no extra runtime.
(summarized by gpt-5.4-mini on Apr 12 2026)
- Paper ID
- 14272
- Venue
- VLDB
- Year
- 2026
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,236 | 28.80%
- DOI
-
10.14778/3797919.3797930
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Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 461 |
Graphs-at-a-time: Query Language and Access Methods for Graph Databases |
2008 |
SIGMOD |
0.00022499343 |
| 502 |
Worst-case Optimal Join Algorithms |
2012 |
PODS |
0.00021526612 |
| 613 |
Design and Implementation of the LogicBlox System |
2015 |
SIGMOD |
0.00019181325 |
| 651 |
Efficient Subgraph Matching on Billion Node Graphs |
2012 |
VLDB |
0.00018648572 |
| 1,180 |
Efficient Subgraph Matching by Postponing Cartesian Products |
2016 |
SIGMOD |
0.00013456907 |
| 1,561 |
Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together |
2019 |
SIGMOD |
0.00011358946 |
| 1,756 |
Graphflow: An Active Graph Database |
2017 |
SIGMOD |
0.00010664542 |
| 1,924 |
In-Memory Subgraph Matching: An In-depth Study |
2020 |
SIGMOD |
0.00010077055 |
| 1,953 |
Distributed Evaluation of Subgraph Queries Using Worst-case Optimal Low-Memory Dataflows |
2018 |
VLDB |
9.9665955e-05 |
| 2,162 |
Scalable Subgraph Enumeration in MapReduce |
2015 |
VLDB |
9.3964337e-05 |
| 2,801 |
Scalable Distributed Subgraph Enumeration |
2017 |
VLDB |
8.0992955e-05 |
| 2,910 |
DUALSIM: Parallel Subgraph Enumeration in a Massive Graph on a Single Machine |
2016 |
SIGMOD |
7.9266529e-05 |
| 2,997 |
Subgraph Matching: on Compression and Computation |
2018 |
VLDB |
7.7559339e-05 |
| 3,036 |
RapidMatch: A Holistic Approach to Subgraph Query Processing |
2021 |
VLDB |
7.6735171e-05 |
| 3,187 |
Versatile Equivalences: Speeding up Subgraph Query Processing and Subgraph Matching |
2021 |
SIGMOD |
7.4136521e-05 |
| 3,752 |
Computing Graph Edit Distance via Neural Graph Matching |
2023 |
VLDB |
6.7879009e-05 |
| 3,849 |
TaGSim: Type-aware Graph Similarity Learning and Computation |
2022 |
VLDB |
6.7064042e-05 |
| 4,556 |
Distributed Subgraph Matching on Timely Dataflow |
2019 |
VLDB |
6.0883757e-05 |
| 6,281 |
A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction |
2024 |
SIGMOD |
5.128862e-05 |
| 6,714 |
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks |
2024 |
SIGMOD |
4.9512171e-05 |
| 8,069 |
Computing Approximate Graph Edit Distance via Optimal Transport |
2025 |
SIGMOD |
4.5934204e-05 |
| 8,809 |
Efficient Maximal Motif-Clique Enumeration over Large Heterogeneous Information Networks |
2024 |
VLDB |
4.4443756e-05 |
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