An excellent paper, but I was confused by your module Multi-Modal High-Order Connectivity:
In this formula, If I have deduced correctly, $\hat{E}_u^l$ is from the output of modality-wise Dependency Modeling.
Its dimension is $m \times d$, supposing that $m$ is the nums of users. The $A \in \mathbb{R}^{n \times m}$ is the user-inter interactive matrix, and $n$ denotes the item nums. From those, it is inferred that the dimension of the output representations $\hat{E}_u^{l+1}$ is $n \times d$, which is corresponding to the representations of items but users.
So, Can help me solve my confusion? thanks.
Based on your feedback, the draft has been updated, and the revised version will soon be available on arXiv. We sincerely appreciate your support and feedback.
An excellent paper, but I was confused by your module
In this formula, If I have deduced correctly, $\hat{E}_u^l$ is from the output of
Multi-Modal High-Order Connectivity
:modality-wise Dependency Modeling
. Its dimension is $m \times d$, supposing that $m$ is the nums of users. The $A \in \mathbb{R}^{n \times m}$ is the user-inter interactive matrix, and $n$ denotes the item nums. From those, it is inferred that the dimension of the output representations $\hat{E}_u^{l+1}$ is $n \times d$, which is corresponding to the representations of items but users. So, Can help me solve my confusion? thanks.