Graph Structure

High performance graph data structures and algorithms

High performance graph data structures and algorithms (legacy package)

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

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

An interactive graph of your Django model structure.

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

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

Ancestral recombination graph (ARG) data structure and operations

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

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

Implementation of Breakpoint Graph data structure

Extracting structured variables from image data

Python library for organizing objects and dependencies in a graph structure

Encode particle physics data onto graph structures.

Adjustment Identification Distance: A 𝚐𝚊𝚍𝚓𝚒𝚍 for Causal Structure Learning

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

Leveraging graph data structures for complex feature engineering pipelines.

JGraphT graph library

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

Keras layers for machine learning on graph structures

Draws a graph of your data to analyze its structure.

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

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

Utilities for working with structure graphs

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

sgraph hierarchic graph data structure, format and algorithms

Fast protein structure searching using structure graph embeddings

Structures to play with graphs

A package to convert deep learning models into graph structures

Utility package for generating graph structures

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

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

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

llama-index readers wordlift integration

a package to generate 3d molecular structures from distance constraints

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.

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

Extracting graphs from signals on nodes

Library for detecting community structure in graphs

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

AutoML tools for graph-structure dataset

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

Library for extracting schemas and building ontologies from documents using LLM

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

Python implementation of graph data structures and algorithms

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