Graph Structure

High performance graph data structures and algorithms

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

High performance graph data structures and algorithms (legacy package)

Retriever combining unstructured similarity and structured document traversal.

An interactive graph of your Django model structure.

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

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

Redis-backed data structures for building scalable and resilient applications

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

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

Encode particle physics data onto graph structures.

A software tool for graph theory analysis of microscopy images.

A simple yet powerful task orchestration library based on graph data structure

Ancestral recombination graph (ARG) data structure and operations

A comprehensive Python package for Data Structures, Algorithms, Design Patterns, and Problem Solutions

Welcome to coding in paradise!

Extracting structured variables from image data

Keras layers for machine learning on graph structures

Leveraging graph data structures for complex feature engineering pipelines.

Utilities for working with structure graphs

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

Library for extracting structured data from websites using ScrapeGraphAI

Fast protein structure searching using structure graph embeddings

Implementation of Breakpoint Graph data structure

Adjustment Identification Distance: A 𝚐𝚊𝚍𝚓𝚒𝚍 for Causal Structure Learning

Python library for organizing objects and dependencies in a graph structure

JGraphT graph library

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

A library for computing topological data structures

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

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

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

View graph data structures in the IPython notebook.

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

Graphcore is a python library which allows you to query a graph structure with a query language similar to MQL, Falcor or GraphQL

Validate graph and data structures.

Structures to play with graphs

Utility package for generating graph structures

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

sgraph hierarchic graph data structure, format and algorithms

A graph representation of knitted structures where each loop is a node and edges represent yarn and stitch relationships.

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

Library for detecting community structure in graphs

AutoML tools for graph-structure dataset

Extract and resolve Knowledge Graphs and other structures for AI Systems

add any graph structure between classes with 2 simple classes

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.

A Python package implementing fundamental data structures such as arrays, stacks, queues, linked lists, graphs, and trees.

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