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GENTI: GPU-powered Walk-based Subgraph Extraction for Scalable Representation Learning on Dynamic Graphs

Summary: GENTI: GPU-oriented walk-based SGRL for dynamic graphs, decoupling subgraph extraction into CPU neighbor sampling and asynchronous GPU subgraph gathering with bespoke dynamic-graph structures. Delivers up to 30x extraction and 26x end-to-end speedups, scaling to 1.3B edges. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13457
Venue
VLDB
Year
2024
Pagerank
4.6610143e-05
Overall Rank
7,749 | 46.10%
DOI
10.14778/3665844.3665856

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