This is the Linux app named Awesome Graph Classification whose latest release can be downloaded as Baserelease..zip. It can be run online in the free hosting provider OnWorks for workstations.
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Awesome Graph Classification
DESCRIPTION
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.
Features
- Explainable Classification of Brain Networks via Contrast Subgraphs
- A Simple Yet Effective Baseline for Non-Attribute Graph Classification
- Multi-Graph Multi-Label Learning Based on Entropy
- Joint Structure Feature Exploration
- A Scalable Approach to Size-Independent Network Similarity
- Regularization for Multi-Task Graph Classification
Programming Language
Python
This is an application that can also be fetched from https://sourceforge.net/projects/awesome-graph-class.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
