A simulator for single-cell expression data guided by gene regulatory networks

Symbolic analysis of discrete dynamical systems

ORbit Counting Algorithm

A Parallel Graphlet Decomposition Library for Large Graphs

Ensemble learning with graph neural networks for disease module discovery and classification

Discovering novel cell types across heterogenous single-cell experiments

Hyperbolic Graph Convolutional Networks in PyTorch.

Practical Cheminformatics Tutorials

Code for the manim-generated scenes used in 3blue1brown videos

Assess the quality of microbial genomes recovered from isolates, single cells, and metagenomes

An easy-to-use reinforcement learning library for research and education.

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Inte…

Repository for G-Retriever

Hyperbolic Knowledge Graph embeddings.

Applied Computational Genomics Course at UU: Spring 2020

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 graphic…

Notes and links from the book club meetings

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Graph neural networks in JAX.

Awesome papers about unifying LLMs and KGs

Tabular Deep Learning Library for PyTorch

Model interpretability and understanding for PyTorch

The official code implementation for DREAMwalk in Python.

A collection of AWESOME things about Graph-Related LLMs.

Attributed Density of States based Graph Embedding

Official Implementation of (k,c)(≤)-SetGNN (NeurIPS 2022)

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Gene2Vec: Distributed Representation of Genes Based on Co-Expression