SparRL: Graph Sparsification via Deep Reinforcement Learning
Summary: SparRL: a general RL-based framework for graph sparsification, with size-independent cost and flexible reduction objectives. Empirical results show SparRL surpasses baselines on diverse objectives, underscoring broad applicability to graph representation tasks. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ryan Wickman
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| Rank | Cited Paper | Year | Venue | Pagerank |
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| 1,160 | Local Graph Sparsification for Scalable Clustering | 2011 | SIGMOD | 0.00011990481 |
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