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Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Graph Neural Network Library for PyTorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
A curated list of awesome Category Theory resources.
A pipeline to automatically preprocess, analyze and visualize resting state EEG data.
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
Code repository for my Building Microservices YouTube series https://www.youtube.com/playlist?list=PLmD8u-IFdreyh6EUfevBcbiuCKzFk0EW_
[Tool] For Knowledge Graph Representation Learning
A free and open platform for analyzing and sharing neuroimaging data
Examples for "Kubernetes Patterns - Reusable Elements for Designing Cloud Native Applications", Second Edition
Generative adversarial network for generating electronic health records.
Pre-training of Graph Augmented Transformers for Medication Recommendation
GAMENet : Graph Augmented MEmory Networks for Recommending Medication Combination
A Deep Learning Python Toolkit for Healthcare Applications.
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)