We consider matrix completion for recommender systems from the point of view of link prediction on graphs. Interaction data such as movie ratings can be represented by a bipartite user-item graph with ...

Abstract: Graph spectral filtering relies on a representation matrix to define the frequency-domain transformations. Conventional approaches use fixed graph representations, which limit their ...

Model misspecification is a common challenge in population genetic inference, as oversimplified mathematical models often fail to capture complex evolutionary processes. Here, we introduce a framework ...

Abstract: In recent years, there has been a growing research interest in using deep learning to resolve the issue of electroencephalogram (EEG)-based emotion recognition. Current research emphasizes ...