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Vince Calhoun — most-cited papers & profile · Graph Learning
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overview
Vince Calhoun
13
papers ·
2
citations ·
0
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Most-cited papers
Causal Graph Recovery in Neuroimaging through Answer Set Programming
2025
Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity
2025
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help
2025
Tracing Network Evolution Using the PARAFAC2 Model
2019
Brain dynamics via Cumulative Auto-Regressive Self-Attention
2021
Multi network InfoMax: A pre-training method involving graph convolutional networks
2021
A deep learning model for data-driven discovery of functional connectivity
2021
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
2022
CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs
2022
Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
2023
Top co-authors
Sergey Plis
· 6
Usman Mahmood
· 4
Zening Fu
· 4
Bhaskar Ray
· 2
Bishal Thapaliya
· 2
Esra Akbas
· 2
Jingyu Liu
· 2
Amrit Kashyap
· 1
Carl Yang
· 1
Chunying Jia
· 1
David Danks
· 1
Eloy Geenjaar
· 1
Topics
cs.LG
cs.AI
q-bio.NC
stat.AP
stat.ME
cs.NE
Uncategorized
cs.SI