I have trained a link prediction model following this tutorial: 5.3 Link Prediction — DGL 0.6.1 documentation
My training heterograph has one type of nodes and 3 types of links. Two of those types of links are symmetric. However, the third type of links is asymmetric, so this score function based on computing the similarity between nodes embeddings isnt useful, since doesnt help me now the direction of the link.
Is there any other score function/approach for asymmetric link prediction that could help me add/get information of which is the source node and which the destiny node when predicting a link? This is crucial in my case, because if a link of this type exists from node1 to node2, a relation of this type cannot by any mean exist from node2 to node1.
Thank you all.