A collection of important graph embedding, classification and representa...
A scikit-learn compatible library for graph kernels
A python package for graph kernels, graph edit distances, and graph pre-...
A package for computing Graph Kernels
A convolutional neural network for graph classification in PyTorch
A Parallel Graphlet Decomposition Library for Large Graphs
Code and data for the paper 'Classifying Graphs as Images with Convoluti...
Deriving Neural Architectures from Sequence and Graph Kernels
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
Contains the code (and working vm setup) for our KDD MLG 2016 paper titl...
A collection of graph classification methods
It provides some typical graph embedding techniques based on task-free o...
This repository contains the TensorFlow implemtation of subgraph2vec (KD...