Graph Structure

A couple of useful data structures

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

Extracting graphs from signals on nodes

A small experimental framework for exploring graph-structured data.

Graph + Espresso = Caffeinated Python graph data structure library!

Makes it easy to convert Python data structures to JSON strings suitable for flot series and options

Structure and Dynamics on Graphs

Review data structure for Review graph mining project

A Graph Abstract Data Type

Python package for structuredly managing directional relationship between objects.

A package to convert deep learning models into graph structures

A generic segment tree and dual segment tree

Graph tree structure

Structural similarity and complementarity coefficients for undirected networks based on efficient counting

Implementation of the dynamic graph data structure described by Holm, de Lichtenberg and Thorup in 2001 (HDT algorithm).

A tool to create linked list, binary tree and graph from array or dictionary for the ease of local test

Graph Interface and Types

A collection of algorithms for competitive programming

A Python Temporal Intructions Common Language Interface: Library to create graphs queries over Kripke structures from a Interval Temporal Logic inspired language.

A graphite dashboard powered by structured metrics

Norman is a framework for advanced data structures in python using an database-like approach. The range of potential applications is wide, for example in-memory databases, multi-keyed dictionaries or node graphs.

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

SurpriseMeMore is a python module providing methods, based on the surprise framework, to detect mesoscale structures(e.g. communities, core-periphery, bow-tie) in graphs and multigraphs.

Svg visualisation for graph data structure

Svg visualisation for graph data structure

Library for the analysis of graph-structured and tree-structured data

Library for extracting schemas and building ontologies from documents using LLM

Recover the 3D structure from a graph.

A CWN Python binding with graph structure

An assignment package for graph and tree data structures

Fast implementation of trees from the mathematics of graphs

Basic Chemistry Toolkit

PyQt based GUI tool which allows to visualize, design and export the lattice graph models.

Python library for creating graphs, trees, and gemini structures.

Automated graph theory analysis of digital structural networks images

Automated graph theory analysis of digital structural networks images

GSLB: Graph Structure Learning Benchmark

Convert any graph like structure to a mermaid and vice versa

A generalized graph library for dealing with generalized graph structures.

Recover images from proximity information.

Community Detector based on algorithm for community detection using structural and attribute similarities

Python package to generate and study graphs and detailed spatial or biological networks.

Set of data structures used in openalea such as : graph, grid, topomesh

Hierarchical GNN for graphs with community structure

pyTooling is a powerful collection of arbitrary useful classes, decorators, meta-classes and exceptions.

A little-language for analysing graph-structured data, especially RDF.

Directed and undirected graph data structures and algorithms.

This package provides a basic framework and supporting functionality for generating network structure network structure using graph motifs.

NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!

A fast algorithm to visualize tree structures