Gem: Scalable Monotonic Graph Processing Beyond Billion-Scale on a Single Machine
Summary: Gem: an out-of-core engine for monotonic graph algorithms using a compact PageRank sketch plus a novel abstraction to derive tight vertex- and partition-level bounds for aggressive pruning. Scales single-machine to 42.5B edges; up to 135× faster than GridGraph and 12× vs Wonderland. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Chengying Huan
- 2. Zhengyi Yang
- 3. Haoshen Yang
- 4. Shaonan Ma
- 5. Rong Gu
- 6. Fang Xi
- 7. Yongchao Liu
- 8. Guihai Chen
- 9. Chen Tian
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