4 papers
LLM Online Spatial-temporal Signal Reconstruction Under Noise
Yi Yan, Dayu Qin, Ercan Engin Kuruoglu
This work introduces the LLM Online Spatial-temporal Reconstruction (LLM-OSR) framework, which integrates Graph Signal Processing (GSP) and Large Language Models (LLMs) for online…
Topological and Graph Theoretical Analysis of Dynamic Functional Connectivity for Autism Spectrum Disorder
Yuzhe Chen, Dayu Qin, Ercan Engin Kuruoglu
Autism Spectrum Disorder (ASD) is a prevalent neurological disorder. However, the multi-faceted symptoms and large individual differences among ASD patients are hindering the diagn…
LLM-based Online Prediction of Time-varying Graph Signals
Dayu Qin, Yi Yan, Ercan Engin Kuruoglu
In this paper, we propose a novel framework that leverages large language models (LLMs) for predicting missing values in time-varying graph signals by exploiting spatial and tempor…
Exploring Neurofunctional Phase Transition Patterns in Autism Spectrum Disorder: A Thermodynamics Parameters Analysis Approach
Dayu Qin, Yuzhe Chen, Ercan Engin Kuruoglu
Designing network parameters that can effectively represent complex networks is of significant importance for the analysis of time-varying complex networks. This paper introduces a…