arXiv (All)
open access
Geometry-Aware Graph Construction via Adaptive Spectral Bandwidth Control
Kernelized graph methods - spectral clustering, diffusion maps, and sparse kernel -regression graphs - that use Gaussian kernels depend on the choice of Gaussian bandwidth sigma, which governs the spectral character of the local kernel operator. When sigma is too small, the kernel overestimates loca
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- HOPE: Heterophily-Aware Open-Set Node Classification with Pseudo-Extrapolation#986015
- Hybrid Graph-Machine Learning Framework for Accurate and Interpretable Band Gap Prediction.#14952
- Resolving positive semi-definiteness in physics-informed kernels for scientific machine learning#662169
- Resolving positive semi-definiteness in physics-informed kernels for scientific machine learning#661119
- Clustering of mass and galaxies#639422
Record · ID 925649
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive