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Multi-Level Graph Representation Learning Through Predictive Community-based Partitioning
Summary: ML-GRL recursively partitions graphs, selecting the best community-detection algorithm for each subgraph and using global graphs to preserve overall topology. A pre-trained predictor estimates performance without partitioning, enabling parallel subgraph processing and yielding accuracy and speedups over six GRL baselines.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7084
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- -
- Overall Rank
- 13,105 | 8.92%
- DOI
-
10.1145/3711115
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