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.

An interactive graph of your Django model structure.

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

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

Library for extracting structured data from websites using ScrapeGraphAI

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

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

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

Ancestral recombination graph (ARG) data structure and operations

Adjustment Identification Distance: A 𝚐𝚊𝚍𝚓𝚒𝚍 for Causal Structure Learning

Extracting structured variables from image data

Validate graph and data structures.

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

Draws a graph of your data to analyze its structure.

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

Python library for organizing objects and dependencies in a graph structure

A library for computing topological data structures

Implementation of Breakpoint Graph data structure

Encode particle physics data onto graph structures.

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

Leveraging graph data structures for complex feature engineering pipelines.

Keras layers for machine learning on graph structures

JGraphT graph library

Library for extracting schemas and building ontologies from documents using LLM

Proxy Structuring Engine: Ensures AI-generated output adheres to predefined schemas without compromising creativity, speed, or context.

Sequential Structural Associative Knowledge Graph (ssakg)

A package to convert deep learning models into graph structures

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

Fast protein structure searching using structure graph embeddings

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

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

Structures to play with graphs

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

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

Library for detecting community structure in graphs

A package that uses pretrained graph-neural network models as featurizers for materials structures.

sgraph hierarchic graph data structure, format and algorithms

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.

pylibwholegraph - GPU Graph Storage for GNN feature and graph structure

a package to generate 3d molecular structures from distance constraints

pylibwholegraph - GPU Graph Storage for GNN feature and graph structure

Advanced data structures for Python.

Utility package for generating graph structures

A graph-inspired data structure for determining likely chains of sequences from breadcrumbs of evidence

add any graph structure between classes with 2 simple classes

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