Research map / Graph learning / Graph self-supervised learning
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
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
- Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization (AAAI 2024 · similarity 0.87)
- Towards a Mechanistic Explanation of Diffusion Model Generalization (ICML 2025 · similarity 0.86)
- SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning (ICML 2025 · similarity 0.86)
- Optimizing for the Shortest Path in Denoising Diffusion Model (CVPR 2025 · similarity 0.85)
- Learning Diffusions under Uncertainty (AAAI 2024 · similarity 0.85)
- Conservation Laws for Diffusion 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.