Succinct Graph Representations as Distance Oracles: An Experimental Evaluation
Summary: Empirically compares 12 exact distance oracles from embeddings and other succinct representations across graphs. Embeddings offer fast setup and structured-graph accuracy; unstructured graphs degrade; GOSH-based approximations scale to 100M+ nodes. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
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| 1,654 | An Experimental Study on Hub Labeling based Shortest Path Algorithms | 2018 | VLDB | 0.000109978 |
| 2,639 | Scaling Distance Labeling on Small-World Networks | 2019 | SIGMOD | 8.3975113e-05 |
| 3,503 | FREDE: Anytime Graph Embeddings | 2021 | VLDB | 7.0355661e-05 |
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