Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs

The GAP package Digraphs

This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"

Scott is a python library to compute, for any fully-labelled (edge and node) graph, a canonical tree representative of its isomorphism class, that can be derived into a canonical trace (string) or adjacency matrix

A Haskell library of GRaph Algorithms and Data Structures

The lib CBioInfCpp.h contains 3 groups of functions for C : "Input-Output", "Working with strings", "Working with graphs". Data structures "Adjacency vector" and "Adjacency map" are implemented in the last one (i.e. in "Working with graphs"). See About_CBioInfCpp for details.

A state of the art algorithm for the Graph Isomorphism problem, adjusted for Sub-Graph and Induced Sub-Graph Isomorphism and extended to directed and multigraph settings.

Graphdatabase Matching Framework for NEO4J

Test graph isomorphism with 1-WL for different graph classes and labelings

A (proof of concept) generator of functional digraphs up to isomorphism

detect isomorphisms and generate all distinct graphs

Frequent Subgraph Mining and Graph Classification

Implementation of the algorithm described in the paper "On the Power of Color Refinement".

Rematch: Robust and Efficient Matching of Local Knowledge Graphs for Improved Structural and Semantic Similarity

Automorphic Equivalence-aware Graph Neural Network. NeurIPS 2021.

Implementation of graph isomorphism search

Use the bispectrum on the symmetric group to solve graph isomorphism.

Software Development @ Atlantic Technological University : Heapsort algorithm and Graph Isomorphism Problem Jupyter Notebook for Graph Theory Module

Graph Isomorphism Testing with Multiprocessing: 2 single-threaded and 2 multi-threaded algorithms