graph-kernels

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

A scikit-learn compatible library for graph kernels

#计算机科学#This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

#计算机科学#A python package for graph kernels, graph edit distances, and graph pre-image problem.

A package for computing Graph Kernels

A convolutional neural network for graph classification in PyTorch

A Parallel Graphlet Decomposition Library for Large Graphs

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

#计算机科学#A Persistent Weisfeiler–Lehman Procedure for Graph Classification

Deriving Neural Architectures from Sequence and Graph Kernels

Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.

A collection of graph classification methods

#计算机科学#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"

#计算机科学#This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

#计算机科学#

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

#计算机科学#Source code for our IEEE ICDM 2016 paper "Faster Kernels for Graphs with Continuous Attributes".

#数据仓库#A package for downloading and working with graph datasets

Isotropic Gaussian Processs on Finite Spaces of Graphs (AISTATS 2023)