graph-classification

A collection of graph classiifcation methods.

All methods accept graph data from https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets

Download data to ./data and refer to go.sh under every directory for sample command.

Methods

• DGK: Deep Graph Kernels [source]
• MLGkernel: Multiscale Laplacian Graph Kernel [source]
• graph2vec_tf: graph2vec: Learning distributed representations of graphs [source]
• diffpool: Hierarchical Graph Representation Learning with Differentiable Pooling [source]
• sub2vec: Sub2Vec: Feature Learning for Subgraphs [source]
• kcnn: Kernel Graph Convolutional Neural Networks [source]
• kernel_methods: Various graph kernels implementation using GraKel