XuexiongLuoMQ's repositories
Awesome-Brain-Graph-Learning-with-GNNs
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.
BraGCL-framework
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis (WSDM 2024 Demo )
Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
brain-disorder-research
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration
Brain-Image-Analysis
Paper list and resources on machine learning for brain image (e. g. fMRI and sMRI) analysis.
BrainME
Brain Subgraph Extraction for Disorder Analysis via Cross-Domain Brain Graph Learning
BrainMM
Adaptive Multi-Modal and Multi-Attribute Brain Graph Learning for Brain Disorder Analysis
MOEPG
The paper "Reinforcement Learning Guided Multi-Objective Exam Paper Generation " was accepted by SDM 2023.