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.

Prototype for a Category Theory-based GNN Library

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_

Graph algorithms and data structures

[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

Code Repo for Doctor2vec

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)