Analysis of methods for efficient graph similarity joins over different types of graphs
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Updated
Apr 22, 2018 - Python
Analysis of methods for efficient graph similarity joins over different types of graphs
This repository provides a Matlab implementation of MP-SimRank, a graph-based framework that models multiple perspective of similarity in the data
A library for finding the maximum common induced subgraph between two graphs and compute their similarity (correlation).
Slides and code for the Morgan Claypool book on "Individual and Collective Graph Mining: Principles, Algorithms and Applications"
Graph Letter Editor for Jobs on Letter Recognition using Graphs Similarity
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
A Julia package for kernel functions on graphs
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
Multi-Relational Graph Transformer for Automatic Short Answer Grading (NAACL 2022)
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Python code to find the the Approximate Graph Edit Distance of two unit Java functions by analyzing their Control Flow Graphs
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 plat…
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.
Implementation of IROS20 paper - "Semantic Graph Based Place Recognition for 3D Point Clouds"
A scikit-learn compatible library for graph kernels
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