Research map / Graph learning / Graph algorithms and clustering
Quasi-Monte Carlo Graph Random Features
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- General Graph Random Features (ICLR 2024 · similarity 0.90)
- Repelling Random Walks (ICLR 2024 · similarity 0.89)
- Manifold Random Features (NeurIPS 2026 · similarity 0.88)
- Quasi-Monte Carlo Features for Kernel Approximation (ICML 2024 · similarity 0.86)
- Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs (ICML 2025 · similarity 0.86)
- Fast Wasserstein rates for estimating probability distributions of probabilistic graphical models (NeurIPS 2026 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
