Code for our CS 330 Deep Multi-Task and Meta Learning Final Project: Transfer and Meta-Learning in Graph Neural Networks: A Recommender System Approach
Code is divided into two main folders: Meta-Learning and Transfer_Learning
/Transfer_Learning_and_Joint-Loss contains the code implementation of a GCN rating-prediction model, and scripts used for fine-tuning and joint-loss training experimentation
/Meta-Learning contains the code base for the MAML and Meta-Graph implementations, the base VGAE link prediction model, and data-processing code