Efficient Graph Summarization using Weighted LSH at Billion-Scale
Summary: LDME: a correction-set graph summarization using weighted LSH to dramatically reduce node-merge comparisons. Adds fast best-merge scoring, a sort-based encoding, and tunable compression-speed tradeoffs, achieving up to 53x speedups at high compression and substantial speedups with modest loss. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Quinton Yong
- 2. Mahdi Hajiabadi
- 3. Venkatesh Srinivasan
- 4. Alex Thomo
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,437 | CausaLens: A System for Summarizing Causal DAGs | 2025 | SIGMOD | 4.1905499e-05 |
| 10,590 | Causal DAG Summarization | 2025 | VLDB | 4.1905499e-05 |
| 10,967 | Graph Summarization: Compactness Meets Efficiency | 2024 | SIGMOD | 4.1905499e-05 |
| 11,034 | Poligras: Policy-based Graph Summarization | 2024 | VLDB | 4.1905499e-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 |
|---|---|---|---|---|
| 387 | Graph Summarization with Bounded Error | 2008 | SIGMOD | 0.00024682268 |
| 435 | Efficient Aggregation for Graph Summarization | 2008 | SIGMOD | 0.00023268266 |
| 1,572 | Query Preserving Graph Compression | 2012 | SIGMOD | 0.00011296109 |
| 2,609 | Graph Stream Summarization: From Big Bang to Big Crunch | 2016 | SIGMOD | 8.4587236e-05 |
| 5,962 | Generating Preview Tables for Entity Graphs | 2016 | SIGMOD | 5.2499162e-05 |
| 5,975 | Summarizing Static and Dynamic Big Graphs | 2017 | VLDB | 5.2452824e-05 |
| 6,330 | Utility-Driven Graph Summarization | 2019 | VLDB | 5.1028624e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,161 | Enabling Efficient Direct Update on Rule-Based Compressed Graph | 2026 | SIGMOD | 4.1905499e-05 |
| 435 | Efficient Aggregation for Graph Summarization | 2008 | SIGMOD | 0.00023268266 |
| 5,975 | Summarizing Static and Dynamic Big Graphs | 2017 | VLDB | 5.2452824e-05 |
| 6,983 | CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression | 2023 | SIGMOD | 4.8682622e-05 |
| 4,713 | Mining Graph Patterns Efficiently via Randomized Summaries | 2009 | VLDB | 5.9694403e-05 |
| 2,609 | Graph Stream Summarization: From Big Bang to Big Crunch | 2016 | SIGMOD | 8.4587236e-05 |
| 773 | Local Graph Sparsification for Scalable Clustering | 2011 | SIGMOD | 0.00016788213 |
| 6,330 | Utility-Driven Graph Summarization | 2019 | VLDB | 5.1028624e-05 |
| 10,967 | Graph Summarization: Compactness Meets Efficiency | 2024 | SIGMOD | 4.1905499e-05 |
| 387 | Graph Summarization with Bounded Error | 2008 | SIGMOD | 0.00024682268 |