A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
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Updated
Jan 12, 2023 - Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
A scikit-learn compatible library for graph kernels
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"
Slides and code for the Morgan Claypool book on "Individual and Collective Graph Mining: Principles, Algorithms and Applications"
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
This repository provides a Matlab implementation of MP-SimRank, a graph-based framework that models multiple perspective of similarity in the data
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…
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
A library for finding the maximum common induced subgraph between two graphs and compute their similarity (correlation).
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation [WSDM-2019]
Quantifying Pairwise Chemical Similarity for Polymers
Graph Letter Editor for Jobs on Letter Recognition using Graphs Similarity
Multi-Relational Graph Transformer for Automatic Short Answer Grading (NAACL 2022)
Analysis of methods for efficient graph similarity joins over different types of graphs
A Julia package for kernel functions on graphs
Python code to find the the Approximate Graph Edit Distance of two unit Java functions by analyzing their Control Flow Graphs
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