https://github.com/ysig/grakel

A scikit-learn compatible library for graph kernels

bioinformatics chemoinformatics graph-classification graph-kernels graph-mining graph-similarity graph-similarity-algorithms scikit-learn

Last synced: 14 May 2025

https://github.com/ysig/GraKeL

A scikit-learn compatible library for graph kernels

bioinformatics chemoinformatics graph-classification graph-kernels graph-mining graph-similarity graph-similarity-algorithms scikit-learn

Last synced: 02 May 2025

https://github.com/annamalai-nr/graph2vec_tf

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

deep-learning deep-neural-networks graph graph-kernels kdd skipgram tensorflow

Last synced: 27 Mar 2025

https://github.com/jajupmochi/graphkit-learn

A python package for graph kernels, graph edit distances, and graph pre-image problem.

chemoinformatics graph-edit-distance graph-kernels graph-representations kernel-methods machine-learning paths pattern-recognition pre-image walks

Last synced: 01 May 2025

https://github.com/borgwardtlab/graphkernels

A package for computing Graph Kernels

graph-classification graph-comparison graph-kernels kernels python-package

Last synced: 11 Jul 2025

https://github.com/giannisnik/cnn-graph-classification

A convolutional neural network for graph classification in PyTorch

convolutional-neural-networks graph-classification graph-kernels

Last synced: 20 Mar 2025

https://github.com/Tixierae/graph_2D_CNN

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

2d-cnn artificial-intelligence classification convolutional-neural-networks deep-learning embeddings graph-2d-cnn graph-kernels graph-theory keras neural-networks representation-learning tensorflow

Last synced: 20 Mar 2025

https://github.com/BorgwardtLab/P-WL

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

graph-classification graph-kernels machine-learning persistent-homology topological-data-analysis weisfeiler-lehman

Last synced: 27 Mar 2025

https://github.com/borgwardtlab/p-wl

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

graph-classification graph-kernels machine-learning persistent-homology topological-data-analysis weisfeiler-lehman

Last synced: 11 Jul 2025

https://github.com/taolei87/icml17_knn

Deriving Neural Architectures from Sequence and Graph Kernels

graph-kernels neural-architectures tensorflow-models theano-models

Last synced: 18 Jun 2025

https://github.com/sunfanyunn/graph-classification

A collection of graph classification methods

graph-kernels graph-machine-learning graph-neural-network

Last synced: 29 Apr 2025

https://github.com/annamalai-nr/subgraph2vec_gensim

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"

deep-learning gensim graph-kernels kernel-methods word2vec

Last synced: 27 Mar 2025

https://github.com/annamalai-nr/subgraph2vec_tf

This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

deep-learning deep-neural-networks graph-kernels kdd kernel-methods skipgram tensorflow

Last synced: 27 Mar 2025

https://github.com/giannisnik/message_passing_graph_kernels

graph-classification graph-kernels

Last synced: 27 Mar 2025

https://github.com/chrsmrrs/hashgraphkernel

Source code for our IEEE ICDM 2016 paper "Faster Kernels for Graphs with Continuous Attributes".

graph-kernels graphs hashing machine-learning python

Last synced: 27 Mar 2025

https://github.com/borgwardtlab/fisher_information_embedding

Official code for Fisher information embedding for node and graph learning (ICML 2023)

attention-model graph-kernels graph-learning graph-neural-networks icml-2023 information-geometry

Last synced: 11 Jul 2025

https://github.com/simonschoelly/graphdatasets.jl

A package for downloading and working with graph datasets

dataset datasets graph graph-classification graph-data graph-datasets graph-kernel graph-kernels graphs hacktoberfest julia julia-language juliagraphs lightgraphs

Last synced: 22 Apr 2025

https://github.com/pseudomanifold/enchiridion-tda

An enchiridion for instructing mortals in the hidden arts of topological data analysis

data-analysis graph-kernels persistent-homology topology

Last synced: 10 Apr 2025

https://github.com/simonschoelly/graphkernels.jl

A Julia package for kernel functions on graphs

graph-classification graph-kernels graph-similarity hacktoberfest julia kernel-functions kernels machine-learning

Last synced: 01 Mar 2025

https://github.com/ethiy/evaluation_building_models_learning

Semantics aware quality evaluation of building 3D models: a learning approach

building-3d-models computer-vision graph-kernels machine-learning quality-evaluation scattering-networks semantic-evaluation

Last synced: 17 Jun 2025

https://github.com/jgurakuqi/graph-kernels-and-manifold-svm

This project aims to compare the performance obtained using a linear Support Vector Machine model whose data was first processed through a Shortest Path kernel with the same SVM, this time with data also processed by two alternative Manifold Learning techniques: Isomap and Spectral Embedding.

artificial-intelligence graph-kernels isomap laplacian-eigenmaps machine-learning manifold-learning multiprocessing shortest-path-algorithm sklearn spectral-embedding svm

Last synced: 04 Jul 2025