Abstract: The abnormality in depression exhibits reciprocal imbalanced connectivity between brain regions rather than increased or decreased activity of one particular area. Current works primarily ...
If you’re like me, you’ve heard plenty of talk about entity SEO and knowledge graphs over the past year. But when it comes to implementation, it’s not always clear which components are worth the ...
Abstract: Graphs are effective models for illustrating complex connections in various contexts, including social networks, citation networks, and biological systems. In this study, the performance of ...
Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users to ...
Once you get past the chatbot hype, it’s clear that generative AI is a useful tool, providing a way of navigating applications and services using natural language. By tying our large language models ...
Epilepsy is a chronic brain disease that causes persistent and severe damage to the physical and mental health of patients. Daily effective prediction of epileptic seizures is crucial for epilepsy ...
Multimodal Brain Connectomics-Based Prediction of Parkinson’s Disease Using Graph Attention Networks
Background: A multimodal connectomic analysis using diffusion and functional MRI can provide complementary information on the structure–function network dynamics involved in complex neurodegenerative ...
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