Tutorials# Property Prediction Prepare the Dataset Define our Model Train and Test Pretrained Molecular Representations Self-Supervised Pretraining Infograph Attribute Masking Finetune on Labeled Datasets Molecule Generation Prepare the Pretraining Dataset Define the Model: GCPN Pretraining and Generation: GCPN Goal-Directed Molecule Generation with Reinforcement Learning: GCPN Define the Model: GraphAF Pretraining and Generation: GraphAF Finetuning: GraphAF Retrosynthesis Prepare the Dataset Center Identification Synthon Completion Retrosynthesis Knowledge Graph Reasoning Knowledge Graph Embedding Prepare the Dataset Define our Model Train and Test Neural Inductive Logic Programming Prepare the Dataset Define our Model Train and Test