Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
–Neural Information Processing Systems
For this problem, we propose a novel generalization of random walk, diffusion, or smooth function methods in the literature to a convex p-norm cut function.
Neural Information Processing Systems
Nov-13-2025, 18:49:37 GMT
- Country:
- Europe > Sweden
- North America
- Canada (0.04)
- United States > California
- San Francisco County > San Francisco (0.14)
- Genre:
- Research Report > New Finding (0.46)
- Industry:
- Information Technology (0.46)
- Technology: