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"
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.
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation [WSDM-2019]
Analysis of methods for efficient graph similarity joins over different types of graphs
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