Controllable data generation by deep learning: A review
Designing and generating new data under targeted properties has been attracting various
critical applications such as molecule design, image editing and speech synthesis …
critical applications such as molecule design, image editing and speech synthesis …
Braingb: a benchmark for brain network analysis with graph neural networks
Map** the connectome of the human brain using structural or functional connectivity has
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …
become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph …
Brain network transformer
Human brains are commonly modeled as networks of Regions of Interest (ROIs) and their
connections for the understanding of brain functions and mental disorders. Recently …
connections for the understanding of brain functions and mental disorders. Recently …
Interpretable graph neural networks for connectome-based brain disorder analysis
Human brains lie at the core of complex neurobiological systems, where the neurons,
circuits, and subsystems interact in enigmatic ways. Understanding the structural and …
circuits, and subsystems interact in enigmatic ways. Understanding the structural and …
Lingcn: Structural linearized graph convolutional network for homomorphically encrypted inference
Abstract The growth of Graph Convolution Network (GCN) model sizes has revolutionized
numerous applications, surpassing human performance in areas such as personal …
numerous applications, surpassing human performance in areas such as personal …
Autorep: Automatic relu replacement for fast private network inference
The growth of the Machine-Learning-As-A-Service (MLaaS) market has highlighted clients'
data privacy and security issues. Private inference (PI) techniques using cryptographic …
data privacy and security issues. Private inference (PI) techniques using cryptographic …
[HTML][HTML] Explainable spatio-temporal graph neural networks for multi-site photovoltaic energy production
In recent years, there has been a growing demand for renewable energy sources, which are
inherently associated with a decentralized distribution and dependent on weather …
inherently associated with a decentralized distribution and dependent on weather …
Community-aware transformer for autism prediction in fmri connectome
Autism spectrum disorder (ASD) is a lifelong neurodevelopmental condition that affects
social communication and behavior. Investigating functional magnetic resonance imaging …
social communication and behavior. Investigating functional magnetic resonance imaging …
On positional and structural node features for graph neural networks on non-attributed graphs
Graph neural networks (GNNs) have been widely used in various graph-related problems
such as node classification and graph classification, where the superior performance is …
such as node classification and graph classification, where the superior performance is …
[HTML][HTML] The combination of a graph neural network technique and brain imaging to diagnose neurological disorders: a review and outlook
S Zhang, J Yang, Y Zhang, J Zhong, W Hu, C Li… - Brain Sciences, 2023 - mdpi.com
Neurological disorders (NDs), such as Alzheimer's disease, have been a threat to human
health all over the world. It is of great importance to diagnose ND through combining artificial …
health all over the world. It is of great importance to diagnose ND through combining artificial …