graph-similarity

There are 18 repositories under graph-similarity topic.

  • SimGNN

    benedekrozemberczki/SimGNN

    A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

    Language:Python7481147148

  • ysig/GraKeL

    A scikit-learn compatible library for graph kernels

    Language:Python592108396

  • saibalmars/GraphRicciCurvature

    A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.

    Language:Python224112356

  • kxhit/SG_PR

    Implementation of IROS20 paper - "Semantic Graph Based Place Recognition for 3D Point Clouds"

    Language:Python182132033

  • cszhangzhen/H2MN

    H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)

    Language:Python501114

  • pulkit1joshi/SimGNN

    Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.

    Language:Python332108

  • GemsLab/MCbook_Individual-Collective_GraphMining

    Slides and code for the Morgan Claypool book on "Individual and Collective Graph Mining: Principles, Algorithms and Applications"

    193012

  • SalamanderXing/MCS

    A library for finding the maximum common induced subgraph between two graphs and compute their similarity (correlation).

    Language:JavaScript13202

  • PreferredAI/mp-simrank

    This repository provides a Matlab implementation of MP-SimRank, a graph-based framework that models multiple perspective of similarity in the data

    Language:C11403

  • olsenlabmit/Polymer-Graph-Similarity

    Quantifying Pairwise Chemical Similarity for Polymers

    Language:Jupyter Notebook9101

  • somjit101/Facebook-Friend-Recommendation

    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'.

    Language:Jupyter Notebook9103

  • kvarun07/asag-gt

    Multi-Relational Graph Transformer for Automatic Short Answer Grading (NAACL 2022)

    Language:Jupyter Notebook8431

  • XiaShan1227/SimGNN

    SimGNN: A Neural Network Approach to Fast Graph Similarity Computation [WSDM-2019]

    Language:Python3202

  • LuisAraujo/GraphLetterEditor

    Graph Letter Editor for Jobs on Letter Recognition using Graphs Similarity

    Language:JavaScript2201

  • simonschoelly/GraphKernels.jl

    A Julia package for kernel functions on graphs

    Language:Julia2210

  • aravi11/approxGed

    Python code to find the the Approximate Graph Edit Distance of two unit Java functions by analyzing their Control Flow Graphs

    1200

  • ArkaJU/DRAL

    Language:Python10

  • nitish6174/graph-similarity-joins

    Analysis of methods for efficient graph similarity joins over different types of graphs

    Language:Python20