graph-kernels topic

A collection of important graph embedding, classification and representation learning papers with implementations.

benedekrozemberczki

A scikit-learn compatible library for graph kernels

ysig

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

annamalai-nr

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

Tixierae

A Parallel Graphlet Decomposition Library for Large Graphs

nkahmed

A convolutional neural network for graph classification in PyTorch

giannisnik

A package for computing Graph Kernels

BorgwardtLab

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

jajupmochi

Deriving Neural Architectures from Sequence and Graph Kernels

taolei87

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

BorgwardtLab