There are 6 repositories under graph-similarity topic.
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
Slides and code for the Morgan Claypool book on "Individual and Collective Graph Mining: Principles, Algorithms and Applications"
A library for finding the maximum common induced subgraph between two graphs and compute their similarity (correlation).
This repository provides a Matlab implementation of MP-SimRank, a graph-based framework that models multiple perspective of similarity in the data
Quantifying Pairwise Chemical Similarity for Polymers
This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media platforms and a directed edges (or 'links') indicates that one person 'follows' the other, or are 'friends' on social media. Now, the task is to predict newer edges to be offered as 'friend suggestions'.
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation [WSDM-2019]
Graph Letter Editor for Jobs on Letter Recognition using Graphs Similarity
A Julia package for kernel functions on graphs
Analysis of methods for efficient graph similarity joins over different types of graphs