network so what you'll have is you'll have a simple neural network a multi-layer perceptron that always connects two entities to each other with the concept vector and then this is a belief a sigmoid that connects the attention masks of the two and then you simply sum over all pairs of two entries in your model and then you send that through an MLP sorry through an MLP again this I believe is not so important it's just important that they can feed this entire situation the X the a and the W they can basically feed into a