SABER integrates LLM semantics into brain networks via global self-attention and multi-scale hypergraphs with decision-level alignment, claiming SOTA performance, stability, and interpretability on ABIDE and ADHD-200.
Brainnpt: Pre-training trans- former networks for brain network classification
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
citing papers explorer
-
SABER: A Semantic-Aligned Brain Network Analysis Framework via Multi-scale Hypergraphs
SABER integrates LLM semantics into brain networks via global self-attention and multi-scale hypergraphs with decision-level alignment, claiming SOTA performance, stability, and interpretability on ABIDE and ADHD-200.
- NeuroMambaLLM: Dynamic Graph Learning of fMRI Functional Connectivity in Autistic Brains Using Mamba and Language Model Reasoning