Pinned Repositories
BrainNet-ML-ToolBox
Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.
DGL
Deep Graph-Based Learning Course (ICL, Computing)
DGN
How to fuse a population of graphs into a single one using graph neural networks?
GNNs-in-Network-Neuroscience
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
NEURAL
Attention-Guided Pruning for Unified Multimodal Resource-Constrained Clinical Evaluation
RegGNN
Regression Graph Neural Network (regGNN) for cognitive score prediction.
survey-multigraph-integration-methods
Comparative survey of multigraph integration methods
uGNN
Unified Learning (on any architecture) using GNNs
X-Node
Self Explanation is All We Need — GNN nodes which self-explain!
Journal-Club
The RISE Journal Club aims to create a friendly environment to discuss the latest state-of-the-art papers in the areas of medical image analysis, AI and computer vision. The moderators will briefly introduce the paper and then moderate a discussion where everyone is welcome to provide their thoughts and ask any questions on the paper.
basiralab's Repositories
basiralab/DGL
Deep Graph-Based Learning Course (ICL, Computing)
basiralab/X-Node
Self Explanation is All We Need — GNN nodes which self-explain!
basiralab/GiNN-MICCAI24-Tutorial
"GNNs in Network Neuroscience" MICCAI 2024 Tutorial; October 10, 2024 — Marrakesh
basiralab/DuoGNN
basiralab/FALCON
FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNN
basiralab/RepTreeFL
Federated learning from limited data using model replica.
basiralab/UniFed
basiralab/DeltaGNN
todo
basiralab/FireGNN
Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules
basiralab/STP-GSR
basiralab/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
basiralab/uGNN
Unified Learning (on any architecture) using GNNs
basiralab/DHSampling
basiralab/NEURAL
Attention-Guided Pruning for Unified Multimodal Resource-Constrained Clinical Evaluation
basiralab/DEFEND
basiralab/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
basiralab/DP-ERE
Dependency Parsing-Based Entity and Relation Extraction
basiralab/DynGNN
basiralab/FairnessExpressivenessinGNNs
Does GNN expressiveness help with fairness?
basiralab/Gen-HNN
basiralab/GiNN-MICCAI25-Tutorial
basiralab/GraGR
Gradient-Guided Graph Reasoner
basiralab/GTG
todo
basiralab/HyperCOCO
todo
basiralab/mCOCO
to update
basiralab/MMSN
Multimodal Sheaf-based Network
basiralab/MSRGNN
Multi-Scale Relational Graph Neural Network for Unified Abstract Visual Reasoning
basiralab/RULE
An exciting & transformative AI project —coming up soon!
basiralab/TopoModelX
Topological Deep Learning
basiralab/UnifiedFL
A Dynamic Unified Federated Learning Framework for Equitable AI