A package for computing Graph Kernels
☆103Jul 21, 2023Updated 2 years ago
Alternatives and similar repositories for GraphKernels
Users that are interested in GraphKernels are comparing it to the libraries listed below
Sorting:
- A package for computing Graph Kernels☆33Jul 26, 2018Updated 7 years ago
- Four of the main kernels on graphs Python implementation.☆16Feb 5, 2017Updated 9 years ago
- A scikit-learn compatible library for graph kernels☆638Jul 26, 2025Updated 7 months ago
- LEAP (Learning Edges by Aggregation of Paths)☆12Feb 2, 2024Updated 2 years ago
- The implementation of the algorithm proposed in A Principled Massive-Graph Similarity Function, and improvement of this algorith.☆15Nov 12, 2016Updated 9 years ago
- A convolutional neural network for graph classification in PyTorch☆91Feb 15, 2019Updated 7 years ago
- Deep Graph Kernels☆13Nov 1, 2015Updated 10 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆88Sep 1, 2024Updated last year
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆128Jun 7, 2025Updated 9 months ago
- dataeaze Enterprise Gen AI and Foundation Models product suite☆32Feb 11, 2026Updated last month
- Implementation of the Multiscale Laplacian Graph Kernel☆19Nov 21, 2019Updated 6 years ago
- Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…☆77Dec 13, 2019Updated 6 years ago
- Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted…☆42Apr 29, 2017Updated 8 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Jun 9, 2021Updated 4 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Mar 21, 2020Updated 6 years ago
- Graph Embedding via Frequent Subgraphs☆45May 5, 2020Updated 5 years ago
- NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!☆62Feb 26, 2020Updated 6 years ago
- Absolute Copy Number Estimation using low-coverage whole genome sequencing data☆19Oct 17, 2025Updated 5 months ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Feb 20, 2020Updated 6 years ago
- For training very deep networks☆10Jun 12, 2017Updated 8 years ago
- ☆14Jan 6, 2020Updated 6 years ago
- Python library for working with kernel methods in machine learning☆121May 31, 2019Updated 6 years ago
- Graph similarity algorithms based on NetworkX.☆170Feb 1, 2026Updated last month
- A graph matching library for Python☆209Apr 25, 2024Updated last year
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆933Nov 6, 2022Updated 3 years ago
- ☆49Mar 4, 2017Updated 9 years ago
- End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks☆15Jul 25, 2024Updated last year
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆297Feb 28, 2022Updated 4 years ago
- Spectral Alignment of Graphs☆11Mar 26, 2017Updated 8 years ago
- Residual Component Analysis☆10Jul 4, 2017Updated 8 years ago
- Comparative metrics for dynamic networks in Python☆71Dec 22, 2022Updated 3 years ago
- ☆174Dec 3, 2018Updated 7 years ago
- RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding. AAAI18☆13May 25, 2020Updated 5 years ago
- GLSearch: Maximum Common Subgraph Detection via Learning to Search☆24Jun 25, 2023Updated 2 years ago
- Implementation of Phase Coupling Estimation in Python and Matlab (see http://arxiv.org/abs/0906.3844 )☆16Feb 1, 2014Updated 12 years ago
- WKPI: A kernel based on persistent homology☆12May 17, 2020Updated 5 years ago
- Matlab code for tree-Wasserstein distance in the paper "Tree-Sliced Variants of Wasserstein Distances", NeurIPS, 2019. (Tam Le, Makoto Y…☆11Mar 11, 2020Updated 6 years ago
- ☆25Oct 1, 2018Updated 7 years ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆157Dec 4, 2017Updated 8 years ago