When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis | Paper Citation Record

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Small Language Models are the Future of Agentic AI

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This paper cites Complex brain networks: graph theoretical analysis of structural and functional systems.Nature Reviews Neuroscience, 10(3):186–198, 2009.

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Complex brain networks: graph theoretical analysis of structural and functional systems.Nature Reviews Neuroscience, 10(3):186–198, 2009

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This paper cites The direct consortium and the rest-meta- mdd project: towards neuroimaging biomarkers of major depressive disorder.Psychoradiology, 2(1):32–42, 03 2022.

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis The direct consortium and the rest-meta- mdd project: towards neuroimaging biomarkers of major depressive disorder.Psychoradiology, 2(1):32–42, 03 2022

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis The adhd-200 consortium: a model to advance the translational potential of neuroimaging in clinical neuroscience.Frontiers in systems neuroscience, 6:62, 2012

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This paper cites Braingb: A benchmark for brain network analysis with graph neural networks.IEEE Transactions on Medical Imaging, 42(2):493–506, 2023.

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Braingb: A benchmark for brain network analysis with graph neural networks.IEEE Transactions on Medical Imaging, 42(2):493–506, 2023

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Observation 1fb7abbc-ef4e-411a-8c48-e93e8005fc56 · outbound

This paper cites Interpretable graph neural networks for connectome-based brain disorder analysis.

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Interpretable graph neural networks for connectome-based brain disorder analysis

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This paper cites Deepseek-v3.2: Pushing the frontier of open large language models, 2025.

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Deepseek-v3.2: Pushing the frontier of open large language models, 2025

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.Molecular psychiatry, 19(6):659–667, 2014

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Observation dc1f3de3-c634-47d1-a0f7-49c3e9e5e2f4 · outbound

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis SpreadsheetLLM: Encoding Spreadsheets for Large Language Models

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Bleg: Llm functions as powerful fmri graph-enhancer for brain network analysis, 2026

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis M3d-bfs: a multi-stage dynamic fusion strategy for sample-adaptive multi-modal brain network analysis, 2026

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Observation 6acf1d96-01b3-4797-ad7e-b86ef1ef45db · outbound

This paper cites When Attention Sink Emerges in Language Models: An Empirical View.

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis When Attention Sink Emerges in Language Models: An Empirical View

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This paper cites Domain-specific language model pretraining for biomedical natural language processing.ACM Transactions on Computing for Healthcare, 3(1):1–23, 2021.

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Domain-specific language model pretraining for biomedical natural language processing.ACM Transactions on Computing for Healthcare, 3(1):1–23, 2021

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This paper cites Inductive representation learning on large graphs.

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Inductive representation learning on large graphs

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Masked autoencoders are scalable vision learners

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis G-retriever: Retrieval-augmented generation for textual graph understanding and question answering.Advances in Neural Information Processing Systems, 37:132876–132907, 2024

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Graphmae: Self-supervised masked graph autoencoders

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Brainnpt: Pre-training trans- former networks for brain network classification.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Ragraph: A general retrieval-augmented graph learning framework

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Kipf and Max Welling

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Multi-connectivity representation learning network for major depressive disorder diagnosis.IEEE Transactions on Medical Imaging, 42(10):3012–3024, 2023

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Biobert: a pre-trained biomedical language representation model for biomedical text mining.Bioinformatics, 36(4):1234–1240, 2020

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Retrieval-augmented generation for knowledge-intensive nlp tasks

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Llava-med: Training a large language-and-vision assistant for biomedicine in one day.Advances in Neural Information Processing Systems, 36:28541–28564, 2023

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Neurobridge: Bridging functional and structural brain networks via neural coupling and consistency-guided dynamic graph learning.Medical Image Analysis, 110:103993, 2026

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Neurofield-agl: Neurofield-attentive graph learning on functional connectivity for mental disorder diagnosis

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Medchain: Bridging the gap between LLM agents and clinical practice with interactive sequence

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Sherlock: Towards dynamic knowledge adaptation in llm-enhanced e-commerce risk management, 2025

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Biogpt: generative pre-trained transformer for biomedical text generation and mining.Briefings in bioinformatics, 23(6):bbac409, 2022

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Mmgpl: Multimodal medical data analysis with graph prompt learning.Medical Image Analysis, 97:103225, 2024

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Qwen3.5: Towards native multimodal agents, February 2026

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Capabilities of Gemini Models in Medicine

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Toolformer: Language models can teach themselves to use tools

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Reflexion: language agents with verbal reinforcement learning

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Rest: a toolkit for resting-state functional magnetic resonance imaging data processing.PloS one, 6(9):e25031, 2011

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Graphgpt: Graph instruction tuning for large language models

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Constructing high-order functional connectivity networks with temporal information from fmri data.IEEE Transactions on Medical Imaging, 2024

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis The wu-minn human connectome project: an overview.Neuroimage, 80:62–79, 2013

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Graph attention networks

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Rag4gfm: Bridging knowledge gaps in graph foundation models through graph retrieval augmented generation

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Chi, Quoc V

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis A brain graph foundation model: Pre-training and prompt-tuning across broad atlases and disorders

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Bloomberggpt: A large language model for finance, 2023

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Contrastive graph pooling for explainable classification of brain networks.IEEE Transactions on Medical Imaging, 2024

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Qwen3 technical report, 2025

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Griffiths, Yuan Cao, and Karthik Narasimhan

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis React: Synergizing reasoning and acting in language models

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis RH- brainFS: Regional heterogeneous multimodal brain networks fusion strategy

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis RecGPT Technical Report

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Multimodal Clinical Trial Outcome Prediction with Large Language Models

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis The prompt consists of basic data information and statistical results from defined analysis function calls

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis BrainAgent is required to perform reasoning before action

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis LLM is prompted to select corresponding function call from available function tools

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis We prompt LLM to make prediction and give corresponding reasons

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Analysis

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Unresolved cited work

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis ‘json {{

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Unresolved cited work

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Attention Sink

Reference 65

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When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis action":

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