arXiv (OAI Expanded)
open access
Graphon-Level Bayesian Predictive Synthesis for Random Network
Analysts often fit several models to the same network. Each estimates a graphon, the function giving the probability of a link between two nodes. Reporting one predictive graphon means weighting these estimates, and the weights can be constrained in several ways. We determine which constraint is cor
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
- Link prediction on multi-relational graphs from an influence propagation perspective#429363
- Extending Cartesian Genetic Programming via iterative subgraph assessment / Henning Cui, Camilo De La Torre, Sylvain Cussat-Blanc, Hervé Luga, Dennis G. Wilson, Jörg Hähner ; Herausgeber: Francesco Marcelloni, Kurosh Madani, Niki van Stein, Joaquim Filipe#1106502
- Force-Driven Graph Learning and Classification#294583
- Optimizing Expert-Designed Crystal Graph Networks for Band-Gap Prediction with an Autonomous LLM Research Loop#670658
- Optimizing Expert-Designed Crystal Graph Networks for Band-Gap Prediction with an Autonomous LLM Research Loop#668593
Record · ID 1069716
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