Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Graph theoretical analysis of complex networks in the brain
Organization, development and function of complex brain networks
Structural and Functional Brain Networks: From Connections to Cognition
Segregated Systems of Human Brain Networks
Identification of large-scale networks in the brain using fMRI
Brain Graphs: Graphical Models of the Human Brain Connectome
Theoretical Neuroanatomy: Relating Anatomical and Functional Connectivity in Graphs and Cortical Connection Matrices
BRAPH: A graph theory software for the analysis of brain connectivity
The modular organization of human anatomical brain networks: Accounting for the cost of wiring
Brain network analysis: a data mining perspective
Curvature-based Methods for Brain Network Analysis
What kind of graphical model is the brain?
Discovering dynamic brain networks from big data in rest and task
Multiscale modeling of brain dynamics: from single neurons and networks to mathematical tools
Functional Brain Networks Develop from a “Local to Distributed” Organization
Graph-Based Network Analysis of Resting-State Functional MRI
Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity
Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease
Modern network science of neurological disorders
The economy of brain network organization
Analysis of the structure of complex networks at different resolution levels
Economic perspectives in test automation: balancing automated and manual testing with opportunity cost
Photoplethysmogram intensity ratio: A potential indicator for improving the accuracy of PTT-based cuffless blood pressure estimation
Linear Response Path Following: A Molecular Dynamics Method To Simulate Global Conformational Changes of Protein upon Ligand Binding.
labeling of data - driven complexes for surface reconstruction . ( partition de complexes guides par les donnees pour la reconstruction de surface ) .
On powerlaw relationships of the internet topology