DownloadA 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
You Might Also Like
Our Free Plans just got better! | Auth0 by Okta
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your secuirty. Auth0 now, thank yourself later.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Awesome Graph Classification!