i.e. with an identity matrix as features. Maybe extend that to training with BlogCatalog node features to which an identity matrix is concatenated, to make sure the model has enough information to separate the nodes based on features.
This tests if the bad adjacency reconstruction we're seeing in #31 comes from not being able to separate nodes based on their features.
i.e. with an identity matrix as features. Maybe extend that to training with BlogCatalog node features to which an identity matrix is concatenated, to make sure the model has enough information to separate the nodes based on features.
This tests if the bad adjacency reconstruction we're seeing in #31 comes from not being able to separate nodes based on their features.