Effective and Efficient PageRank-based Positioning for Graph Visualization
Summary: PDist, a PageRank-based node distance for graph visualization. Tau-Push estimates PDist with theoretical guarantees for single-/multi-level layouts and delivers sub-second interactive visualizations on billion-edge graphs, beating 13 baselines on 12 real graphs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Shiqi Zhang
- 2. Renchi Yang
- 3. Xiaokui Xiao
- 4. Xiao Yan
- 5. Bo Tang
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 327 | The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing | 2018 | VLDB | 0.00027312381 |
| 1,528 | Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank | 2020 | VLDB | 0.00011489661 |
| 2,110 | HubPPR: Effective Indexing for Approximate Personalized PageRank | 2017 | VLDB | 9.5280826e-05 |
| 2,189 | BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs | 2015 | SIGMOD | 9.3358152e-05 |
| 2,515 | BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart | 2017 | SIGMOD | 8.6115215e-05 |
| 2,522 | Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push | 2021 | SIGMOD | 8.6029608e-05 |
| 4,560 | Massively Parallel Algorithms for Personalized PageRank | 2021 | VLDB | 6.0788254e-05 |
| 4,670 | Realtime Top-k Personalized PageRank over Large Graphs on GPUs | 2020 | VLDB | 6.0027844e-05 |
| 8,289 | AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases | 2020 | SIGMOD | 4.5392079e-05 |
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