If there are content features of node, such as descriptions and categorical information of the product, where should this frozen embedding (e.g. if sentence embedding with size, number of node*number of embedding dimension) be concatenated in the model?
My understanding is to concatenate to the node embedding before attention network, similar to "Reversed Position Embedding", so it becomes node's representation from graph + Reversed Position Embedding + frozen content features embedding. Is this understanding correct?
If there are content features of node, such as descriptions and categorical information of the product, where should this frozen embedding (e.g. if sentence embedding with size, number of node*number of embedding dimension) be concatenated in the model?
My understanding is to concatenate to the node embedding before attention network, similar to "Reversed Position Embedding", so it becomes node's representation from graph + Reversed Position Embedding + frozen content features embedding. Is this understanding correct?
Thank you