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
Full-stack observability with actually useful AI | Grafana Cloud
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Awesome Graph Classification!
