HIGHLIGHTS
- who: Wei Zhang et al. from the Department of Artificial Intelligence Education, Central China Normal University, Wuhan, China have published the article: Graph Attention Interaction Aggregation Network for Click-Through Rate Prediction, in the Journal: Sensors 2022, 9691 of /2022/
- what: In response to the above problems this paper proposes a model (GAIAN) based on the interactive aggregation network which explicitly obtains cross features on the structure. In contrast, considering that not all feature interactions are beneficial, the authors design an interaction selection mechanism to select beneficial feature interactions. To learn the parameters of the . . .
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