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The Top 23 Graph Kernels Open Source Projects

Open source projects categorized as Graph Kernels
Categories > Graph Kernels
Awesome Graph Classification ⭐ 4,700
A collection of important graph embedding, classification and representation learning papers with implementations.
most recent commit a year ago
Graph2vec ⭐ 791
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
most recent commit a year ago
Grakel ⭐ 540
A scikit-learn compatible library for graph kernels
dependent packages 1total releases 5most recent commit 6 months agopypi grakel-dev} Downloads
Graph2vec_tf ⭐ 107
This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
most recent commit 6 years ago
Graphkit Learn ⭐ 107
A python package for graph kernels, graph edit distances, and graph pre-image problem.
total releases 26most recent commit 4 months ago
Graphkernels ⭐ 91
A package for computing Graph Kernels
total releases 16most recent commit 9 months ago
Cnn Graph Classification ⭐ 79
A convolutional neural network for graph classification in PyTorch
most recent commit 5 years ago
Pgd ⭐ 60
A Parallel Graphlet Decomposition Library for Large Graphs
most recent commit 5 years ago
Graph_2d_cnn ⭐ 59
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks'
most recent commit 4 years ago
P Wl ⭐ 44
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
most recent commit 3 years ago
Feather ⭐ 39
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
most recent commit a year ago
Subgraph2vec_gensim ⭐ 36
Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"
most recent commit 7 years ago
Benchmark_dataset_for_graph_classification ⭐ 33
This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
most recent commit a year ago
Subgraph2vec_tf ⭐ 21
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
most recent commit 7 years ago
Kelp Additional Kernels ⭐ 19
most recent commit 5 years ago
Resolutions 2019 ⭐ 16
A list of data mining and machine learning papers that I implemented in 2019.
most recent commit 4 years ago
Chem Graph Kernel Machine ⭐ 11
Machine Learning using marginalized graph kernel for chemical molecules.
most recent commit 4 months ago
Graph Embedding Techniques ⭐ 11
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
most recent commit 5 years ago
Ppi_graphkernel ⭐ 9
all-paths graph kernel for protein-protein interaction extraction
most recent commit 10 years ago
Nestedsubtreehash ⭐ 7
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
most recent commit 2 years ago
Message_passing_graph_kernels ⭐ 6
most recent commit 4 years ago
Graphdatasets.jl ⭐ 5
A package for downloading and working with graph datasets
most recent commit 2 years ago
Fisher_information_embedding ⭐ 5
Official code for Fisher information embedding for node and graph learning (ICML 2023)
most recent commit 10 months ago
The 3 Latest Releases In Graph Kernels Open Source Projects
Graphkit Learn ⭐ 107
A python package for graph kernels, graph edit distances, and graph pre-image problem.
total releases 26latest release October 02, 2020most recent commit 4 months ago
Grakel ⭐ 540
A scikit-learn compatible library for graph kernels
dependent packages 1total releases 5latest release September 09, 2019most recent commit 6 months agopypi grakel-dev} Downloads
Graphkernels ⭐ 91
A package for computing Graph Kernels
total releases 16latest release June 28, 2018most recent commit 9 months ago
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