Graph Structure

High performance graph data structures and algorithms

High performance graph data structures and algorithms (legacy package)

A Python library for tree data structures with an intuitive, yet powerful, API.

This project presents the SDM-RDFizer, an interpreter of mapping rules that allows the transformation of (un)structured data into RDF knowledge graphs. The current version of the SDM-RDFizer assumes mapping rules are defined in the RDF Mapping Language (RML) by Dimou et al.

A graph-based scheduler of nodes based on structure and conditions

An interactive graph of your Django model structure.

Draws a graph of your data to analyze its structure.

RNAglib: Tools for learning on the structure of RNA using 2.5D geometric representations

A collection of robust, efficient and small classic algorithms and data structures.

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

Utilities for working with structure graphs

Adjustment Identification Distance: A 𝚐𝚊𝚍𝚓𝚒𝚍 for Causal Structure Learning

A library for computing topological data structures

Leveraging graph data structures for complex feature engineering pipelines.

Ancestral recombination graph (ARG) data structure and operations

Implementation of Breakpoint Graph data structure

A Dash Graph component modified to support use of figure.data-structured input to extend and/or add traces.

Logical Graph Builder that can be used for various problems that can be modeled as a graph data structure

Redis-backed data structures for building scalable and resilient applications

JGraphT graph library

Python library for organizing objects and dependencies in a graph structure

An algorithm visualization tool for jupyter notebook to show animation for vector, table, linked list, tree and graph data structures.

Retriever combining unstructured similarity and structured document traversal.

Keras layers for machine learning on graph structures

sgraph hierarchic graph data structure, format and algorithms

Fast protein structure searching using structure graph embeddings

A simple base implementation of a Directed Acyclic Graph, intended to be subclassed for more specific functionality.

Library of Algorithms, Data Structures, variety of solutions to common CS problems.

Extracting structured variables from image data

Library for extracting structured data from websites using ScrapeGraphAI

CCSD (Combinatorial Complex Score-based Diffusion) is a sophisticated score-based diffusion model designed to generate Combinatorial Complexes using Stochastic Differential Equations. This cutting-edge approach enables the generation of complex objects with higher-order structures and relations, thereby enhancing our ability to learn underlying distributions and produce more realistic objects.

Library for detecting community structure in graphs

Screen loops among brain structures(or any entities comprising a graph).

Visualize Tree, Graph, and Matrix data structures with ease.

add any graph structure between classes with 2 simple classes

View graph data structures in the IPython notebook.

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

a package to generate 3d molecular structures from distance constraints

This library helps you execute a set of functions in a Directed Acyclic Graph (DAG) dependency structure in parallel in a production environment.

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

Utility package for generating graph structures

Structural Causal Models

AutoML tools for graph-structure dataset

Encode particle physics data onto graph structures.

quad-edge data structure

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`.

Validate graph and data structures.

A package for making graph representations of proteinstructures.

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.