emanuele / fastPFP
Implementation of the fastPFP approximate subgraph matching algorithm, as described in http://arxiv.org/abs/1207.1114
☆11Updated 9 years ago
Alternatives and similar repositories for fastPFP:
Users that are interested in fastPFP are comparing it to the libraries listed below
- Learning Graph Distances with Message PassingNeural Networks☆13Updated 9 months ago
- This is a python implementation of the Gaston frequent subgraph mining algorithm.☆20Updated 5 years ago
- Tools for the generation, analysis and visualisation of complex networks in hyperbolic space.☆26Updated 6 years ago
- C implementation of algorithms to find the Density-Friendly graph decomposition☆11Updated 5 years ago
- Scaling Up Subgraph Query Processing with Efficient Subgraph Matching by Shixuan Sun and Dr. Qiong Luo☆17Updated 6 years ago
- A Parallel Graphlet Decomposition Library for Large Graphs☆87Updated 6 years ago
- Parallel Frequent Subgraph Mining☆31Updated 7 years ago
- Graph kernels☆56Updated 3 years ago
- An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".☆20Updated 2 years ago
- A graph matching library for Python☆203Updated last year
- A package for computing Graph Kernels☆104Updated last year
- A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)☆26Updated 2 years ago
- A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).☆65Updated 2 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 3 years ago
- Simulation of diffusion on hypergraphs☆33Updated 10 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆55Updated 6 years ago
- Solution for ENS - Societe Generale Challenge (1st place).☆6Updated 3 years ago
- ☆20Updated 4 years ago
- Bunch of aproximated graph edit distance algorithms.☆34Updated 6 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆30Updated 7 years ago
- CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms (ICDM'16 & KAIS'18)☆16Updated 5 months ago
- Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.☆10Updated 3 years ago
- Hypergraph Algorithms Package☆96Updated last year
- ☆8Updated 5 years ago
- Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow☆78Updated 6 years ago
- LEMON: A local algorithm for fast, high-precision overlapping community detection☆54Updated 7 years ago
- C++ library for graph kernel and edit distance algorithm☆15Updated 6 years ago
- Local community detection code that implements the methods used in Think Locally, Act Locally: The Detection of Small, Medium-Sized, and …☆13Updated 6 years ago
- Frequent subgraph mining using FFSM algorithm, C++☆11Updated 7 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago