Quantification of graph structure influence on link prediction and pre-hoc KGEM hyperparameter selection based on Structural Alignment
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Updated
Jan 25, 2025 - Python
Quantification of graph structure influence on link prediction and pre-hoc KGEM hyperparameter selection based on Structural Alignment
Cross-graph transfer learning for link prediction based on Structural Alignment
This repository defines the protocols for **Helix-TTD Identity & Custody**. It enforces a strict "No Orphaned Agents" policy by binding every AI agent to a cryptographic root held by a human custodian.
Computational pipeline for detecting Kunitz-type protease inhibitor domains (PF00014) using a Profile HMM. Developed during the Laboratory of Bioinformatics 1 course (MSc in Bioinformatics, University of Bologna), this project integrates structural alignment, sequence clustering, and model evaluation for accurate protein domain annotation.
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