Graph Structure

Structure and Dynamics on Graphs

Structural node embedding on directed graphs

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

A small experimental framework for exploring graph-structured data.

Network science abstract data types

AutoML tools for graph-structure dataset

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

Warc2graph extracts a graph data structure from WARC files.

A Graph Abstract Data Type

Learn single-cell data structure through topological bases, graphs and layouts

codeink draws your Python source code into beautiful graph structures

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

Review data structure for Review graph mining project

A package to convert deep learning models into graph structures

Graph tree structure

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

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

Svg visualisation for graph data structure

Python-based implementations for many data structures.

Python package for structuredly managing directional relationship between objects.

A generic segment tree and dual segment tree

Svg visualisation for graph data structure

A package to simplify the creation and manipulation of recursive data structures.

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

Package to package to transform structured data into RDF graph form

Advanced data structures for Python.

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.

A collection of algorithms for competitive programming

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.

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

Hierarchical GNN for graphs with community structure

Directed and undirected graph data structures and algorithms.

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

A LangGraph-based workflow for conducting web research and generating structured content.

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

A powerful tool for transforming documents into graph-based structures using Large Language Models (LLMs).

A Python package for graph data structures and algorithms.

NodeRAG, a graph-centric framework introducing heterogeneous graph structures that enable the seamless and holistic integration of graph-based methodologies into the RAG workflow

A fast algorithm to visualize tree structures

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

GSLB: Graph Structure Learning Benchmark

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

Automated graph theory analysis of digital structural networks images

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

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

Automated graph theory analysis of digital structural networks images

An assignment package for graph and tree data structures

Recover images from proximity information.

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

A CWN Python binding with graph structure