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Found 3 papers, 2 papers with code
A New Radar Signal Multiparameter-Based Deinterleaving Method
Compared to the PRI-based deinterleaving methods, the proposed method utilizes the multidimensional information of radar signals.
GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
Reorganizing implicit feedback of users as a user-item interaction graph facilitates the applications of graph convolutional networks (GCNs) in recommendation tasks.
Hierarchical User Intent Graph Network forMultimedia Recommendation
In this work, we aim to learn multi-level user intents from the co-interacted patterns of items, so as to obtain high-quality representations of users and items and further enhance the recommendation performance.
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