Hi there !
i’m doing mini-project which is building recommendation engine with graph neural network.
stuck in the problem
- my raw data property is ‘user - item’ bipartite graph (interaction)
which is proper graph data type ? (homo vs. hete)
- i want to resolve my task using link prediction scenario
i understand ‘negative sampling’ is redefine the label at the dataset.
If above thing is right , then i just follow the user guide at dgl official document ?