Research map / Graph learning / Graph algorithms and clustering
Capacity Releasing Diffusion for Speed and Locality
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use capacity-releasing diffusion instead of ACL | Local clustering · Rice year 2009 | precision: 0.25 -> 0.92 | Helped |
| Use capacity-releasing diffusion instead of ACL | Local clustering · Colgate year 2008 | precision: 0.61 -> 0.94 | Helped |
| Use capacity-releasing diffusion instead of ACL | Local clustering · Rice dorm 203 | precision: 0.32 -> 0.43 | Helped |
| Use capacity-releasing diffusion instead of ACL | Local clustering · Rice dorm 203 | recall: 0.9 -> 0.8 | Hurt |
| Use capacity-releasing diffusion instead of ACL | Local clustering · Colgate year 2007 | precision: 0.47 -> 0.52 | Helped |
| Use capacity-releasing diffusion instead of ACL | Local clustering · Simmons year 2007 | recall: 0.75 -> 0.5 | Hurt |
| Use capacity-releasing diffusion rather than classical spectral diffusion | Synthetic grid clustering · 60×60 grid with random connections | conductance | Mixed |
Closest papers by meaning
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- SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion (ICML 2025 · similarity 0.86)
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- Optimal Graph Clustering without Edge Density Signals (NeurIPS 2025 · similarity 0.85)
- Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract) (AAAI 2024 · similarity 0.85)
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