The degree of nodes are different, so we usually need normalization in GCN (by using degree matrix). In equation 3, 4, 5, I can't find the normalization.
In Table 3, why DistMult performs better than R-GCN on FB15K-237? This is a contradiction with the result in R-GCN paper.
There is an attribute triple (entity, relation, attribute) example (s = Tom, r = people.person.gender, a = male. The paper said that ”Note that each type of attribute corresponds to a node.". I understand this by taking the attributes "male" and "female " as two nodes. However, the paper also said "For instance, in our example, gender is represented by a single node rather than two nodes for “male” and “female”.“ I understand this by taking the relation "people.person.gender" as nodes. I feel confused.
You are right. The "male" and "female" are two nodes in the dataset. You can also make these two nodes as one node "gender" if you wanna to decrease the size of attribute nodes.
Thanks!