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3 search results found

Graph2vec ⭐ 791

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Graphkit Learn ⭐ 107

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

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Kelp Additional Kernels ⭐ 19

Resolutions 2019 ⭐ 16

A list of data mining and machine learning papers that I implemented in 2019.

Chem Graph Kernel Machine ⭐ 11

Machine Learning using marginalized graph kernel for chemical molecules.

Nestedsubtreehash ⭐ 7

A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).

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