The Pursuit of a Good Possible World: Extracting Representative Instances of Uncertain Graphs
Summary: Proposes deterministic representative instances of uncertain graphs preserving expected vertex degrees to reflect topology. This enables graph analytics on the representative to approximate shortest-path, clustering and betweenness efficiently. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Panos Parchas (Hong Kong University of Science and Technology)
- 2. Francesco Gullo (Yahoo)
- 3. Dimitris Papadias (Hong Kong University of Science and Technology)
- 4. Francesco Bonchi (Yahoo)
BibTeX Citation
@inproceedings{parchas_sigmod14,
title = {{The Pursuit of a Good Possible World: Extracting Representative Instances of Uncertain Graphs}},
author = {Parchas, Panos and Gullo, Francesco and Papadias, Dimitris and Bonchi, Francesco},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2593668},
url = {https://dl.acm.org/doi/10.1145/2588555.2593668},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,559 | Efficient and Effective Algorithms for Clustering Uncertain Graphs | 2019 | VLDB | 7.3095916e-05 |
| 3,723 | Butterfly Counting on Uncertain Bipartite Graphs | 2022 | VLDB | 7.1725638e-05 |
| 5,889 | Shortest Paths and Centrality in Uncertain Networks | 2021 | VLDB | 6.0496722e-05 |
| 5,890 | An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs | 2019 | VLDB | 6.0496722e-05 |
| 6,037 | On Uncertain Graphs Modeling and Queries | 2015 | VLDB | 5.9990983e-05 |
| 9,062 | Shortest Paths Discovery in Uncertain Networks via Transfer Learning | 2023 | SIGMOD | 5.3251649e-05 |
| 9,281 | Sage: A System for Uncertain Network Analysis | 2022 | VLDB | 5.2933125e-05 |
| 9,665 | ChiSeL: Graph Similarity Search using Chi-Squared Statistics in Large Probabilistic Graphs | 2020 | VLDB | 5.2406724e-05 |
| 9,948 | uBlade: Efficient Batch Processing for Uncertain Graph Queries | 2024 | SIGMOD | 5.1915905e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 50 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB | 0.00043596705 |
| 947 | On the Representation and Querying of Sets of Possible Worlds | 1987 | SIGMOD | 0.00013041389 |
| 1,049 | k-Nearest Neighbors in Uncertain Graphs | 2010 | VLDB | 0.00012415522 |
| 1,254 | Distance-Constraint Reachability Computation in Uncertain Graphs | 2011 | VLDB | 0.0001147266 |
| 2,977 | Injecting Uncertainty in Graphs for Identity Obfuscation | 2012 | VLDB | 7.9035901e-05 |
| 3,548 | Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases | 2012 | VLDB | 7.3214417e-05 |
| 4,853 | Efficient Subgraph Search over Large Uncertain Graphs | 2011 | VLDB | 6.4780097e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,474 | Querying Big Graphs within Bounded Resources | 2014 | SIGMOD |
| 2 | 3,548 | Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases | 2012 | VLDB |
| 3 | 5,890 | An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs | 2019 | VLDB |
| 4 | 4,853 | Efficient Subgraph Search over Large Uncertain Graphs | 2011 | VLDB |
| 5 | 1,254 | Distance-Constraint Reachability Computation in Uncertain Graphs | 2011 | VLDB |
| 6 | 3,559 | Efficient and Effective Algorithms for Clustering Uncertain Graphs | 2019 | VLDB |
| 7 | 1,049 | k-Nearest Neighbors in Uncertain Graphs | 2010 | VLDB |
| 8 | 5,889 | Shortest Paths and Centrality in Uncertain Networks | 2021 | VLDB |
| 9 | 6,037 | On Uncertain Graphs Modeling and Queries | 2015 | VLDB |
| 10 | 6,345 | Clustering Uncertain Graphs | 2018 | VLDB |