Aster: Enhancing LSM-structures for Scalable Graph Database
Summary: Poly-LSM is a graph-oriented LSM-tree with a hybrid storage model for compact, efficient graph data; adaptive I/O handles edge insertions and deletions. Aster implements this as a Gremlin-enabled graph DB, using skew-aware encoding; delivers up to 17x throughput on billion-scale graphs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dingheng Mo (Nanyang Technological University)
- 2. Junfeng Liu (Nanyang Technological University)
- 3. Fan Wang (Nanyang Technological University)
- 4. Siqiang Luo (Nanyang Technological University)
BibTeX Citation
@inproceedings{mo_sigmod25,
title = {{Aster: Enhancing LSM-structures for Scalable Graph Database}},
author = {Mo, Dingheng and Liu, Junfeng and Wang, Fan and Luo, Siqiang},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3709662},
url = {https://dl.acm.org/doi/10.1145/3709662},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,245 | ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads | 2026 | VLDB | 5.3556365e-05 |
| 10,501 | Bw-Graph: An Efficient Graph Storage System Harmonizing Topology-Aware Tree with Paged CSR | 2026 | SIGMOD | 4.9605343e-05 |
| 10,542 | GraphRTX: Lighting the Way to Scalable Graph Analytics | 2026 | SIGMOD | 4.9605343e-05 |
| 10,748 | RadixGraph: A Fast, Space-Optimized Data Structure for Dynamic Graph Storage | 2026 | SIGMOD | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 44 of 44 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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