  The exponential growth of neuroscience literature presents a significant
challenge for researchers seeking to efficiently access and utilize relevant
information. To address this issue, we introduce the Brain Knowledge Engine
(BrainKnow), an automated system designed to extract, link, and synthesize
neuroscience knowledge from scientific publications. BrainKnow constructs a
comprehensive knowledge graph encompassing 3,626,931 relationships across
37,011 neuroscience concepts, derived from 1,817,744 articles. This vast
repository of knowledge is accessible through a user-friendly web interface,
facilitating efficient navigation and data retrieval. BrainKnow employs
advanced graph network algorithms, specifically Node2Vec, to enhance knowledge
recommendation and visualization. This enables users to explore semantic
relationships between concepts, predict potential new relationships, and gain a
deeper understanding of the interconnectedness within neuroscience.
Additionally, BrainKnow ensures real-time updates by synchronizing with PubMed,
providing researchers with access to the most current information. BrainKnow
serves as a valuable resource for neuroscience researchers, offering a powerful
tool for exploring, synthesizing, and leveraging the vast and complex knowledge
base of the field.
