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Graph-Based Modeling of Alzheimer’s Protein Interactions via Spiking Neural, Hyperdimensional Encoding, and Scalable Ray-Based Learning

2025-04-16

Abstract excerpt

This study introduces a novel computational framework for predicting protein-protein interactions (PPIs) in Alzheimer’s disease by integrating biologically inspired and graph-based learning paradigms. The pipeline combines genetic algorithm-driven feature selection, hyperdimensional encoding for robust semantic representation, and spiking neural networks to capture temporal dynamics. These representations are fuse...

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Literature Corpus work
9d915062-5cca-5fee-94ef-152aae0834a4
DOI
10.1101/2025.04.11.647919
Open publication

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Graph-Based Modeling of Alzheimer’s Protein Interactions via Spiking Neural, Hyperdimensional Encoding, and Scalable Ray-Based LearningDOI 10.1101/2025.04.11.647919
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