bioRxiv / medRxiv
open access
CC BY 4.0
VaxjoGNN: A Graph Neural Network for Ontology-Grounded Vaccine Adjuvant Recommendation
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
- Clinical Study of mRNA Vaccine in Patients With Advanced Malignant Solid Tumors#1072827
- A review of vaccine adjuvants in modern immunology: Mechanisms, classes, and advances in next generation vaccine design: Adjuvants vaccinaux en immunologie moderne: Mécanismes, classes et avancées dans la conception des vaccins de nouvelle generation#1149013
- Dose-Confirmation Study to Evaluate the Safety, Reactogenicity, and Immunogenicity of mRNA-1273 COVID-19 Vaccine in Adults Aged 18 Years and Older#471508
- Assessment of Antibody Persistence in Children Previously Vaccinated With Pneumococcal Conjugate Vaccine#801565
- Iteration Method for Predicting Essential Proteins Based on Orthology and Protein-protein Interaction Networks#492221
Record · ID 377093
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