chmm-lsim-matlab-toolbox

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Graphs and passing networks in football.

Fused Window Transformers for fMRI Time Series Analysis (https://www.sciencedirect.com/science/article/pii/S1361841523001019)

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

Regression Graph Neural Network (regGNN) for cognitive score prediction.

Awesome graph neural networks for brain network learning. Collections of related research papers with implementations, commonly used datasets and tools. We also invite researchers interested in brain graph learning with GNNs to join the project.

BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.

Multi-modal Image Registration And Connectivity anaLysis