Download
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
Project Samples
License
Creative Commons Attribution LicenseFollow Awesome Graph Classification
Other Useful Business Software
Earn up to 16% annual interest with Nexo.
Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform.
Geographic restrictions, eligibility, and terms apply.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Awesome Graph Classification!
