awesome graph classification online with Winfy

We have hosted the application awesome graph classification in order to run this application in our online workstations with Wine or directly.

Quick description about awesome graph classification:

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.

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