Graph Structure

A collection of well known data structures implemented in Python.

Graph package

A Python library for various big data structures including graphs, trees, and more.

A package for making graph representations of proteinstructures.

Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

high level graph of function

pylibwholegraph - GPU Graph Storage for GNN feature and graph structure

A tool to index a repository and generate structured outputs for visualization and documentation.

Data Structures package for Problem Solving with Algorithms and Data Structures using Python

Investigations of Boolean functions, their Cayley graphs, and associated structures.

A comprehensive benchmark for Graph Structure Learning.

pylibwholegraph - GPU Graph Storage for GNN feature and graph structure

Deep Learning framework extension allowing more efficient backpropogation of gradient in a situation with branched computational graph structure

Multi-genome gene order based scaffold assembler

OpenMSIModel uses the GEMD (Graphical Expression of Material Data) format to interact with generalized laboratory, analysis, and computational materials data. It allows to structure real scientific workflows into meaningful data structures, model them in graph and relational databases, explore on interactive graphical interfaces, and build long-term, shareable assets stores.

Advanced data structures for Python.

Flexible tree data structures for organizing lists and dicts into sections.

Graphsp Package for Graph Data Structure

A package to convert deep learning models into graph structures

Sequential Structural Associative Knowledge Graph (ssakg)

Extracting graphs from signals on nodes

Structural Causal Models

Generate polyglot code for de/serializing object graphs from JSONable structures.

Reads first-principle molecular simulation data and graphs various statistics

Abstract data structures

Warc2graph extracts a graph data structure from WARC files.

Finding velocity coherent structures in molecular ISM using Gaussian decomposition and Graph theory

A Python module for mixed-methods qualitative studies of large textual or symbolic corpora, providing applications of statistical models accompanied by tailored interactive visualizations. It affords the detection of both textual and metadata structures by employing stochastic block modeling (SBM) from `graph-tool` or (currently deprecated) word embedding from `gensim`.

Those missing flavors of dict

Python package for performing analysis on structural brain networks using random geometric surrogate graphs

Accelerated Lignin Structure Generation with Graph-based Multiscale Modeling

Structural node embedding on directed graphs

A graphite dashboard powered by structured metrics

torch-dag is a repository in which we implement a graph-like representation for torch models so that we have a unified structure for every model.

Library for extracting schemas and building ontologies from documents using LLM

quad-edge data structure

Graph algorithms and data structures

Python package to extract graph structure of local atomic environment and build GNN to predict atomic properties (Potential Energy)

Module to create tree graphs for files and directories based in a simple structured language

This project provides a structure to integrate calcium traces and events, perform statistical analysis, make graphs and do classification problems to further understand the dataset.

A couple of useful data structures

A package to work with protein structure networks

codeink draws your Python source code into beautiful graph structures

Graph + Espresso = Caffeinated Python graph data structure library!

Python library to visualize data strcutures

Graph Interface and Types

Python implementation of algorithms on string handling, data structure, graph processing, etc

Learn single-cell data structure through topological bases, graphs and layouts

Library for structured information processing: parsing, interpreting, converting, etc.