This blog contains hands-on learning resources to quick start on graph machine learning.

• Node Embeddings
• Link Analysis
• Graph Algorithms
• Graph Neural Networks Roadmap
• Deep Generative Models for Graphs
• GNNs for Fraud Detection
• GNNs for Recommender Systems
• Neo4j Graph Database & Cypher
• Pytorch-Geometrics (PyG)

• Stanford CS224W: Machine Learning with Graphs [Class Video]
• Google Research GNN
• Awesome Collection of Research Papers on Fraud Detection using GNNs [Research Papers]
• Awesome Slides from a Talk on Fraud Detection using GNNs [Slides]