Abstract: As a typical spatiotemporal series prediction task, traffic flow prediction has found wide application in intelligent transportation systems (ITS). Despite some progress, several unresolved ...
In this project, we develop a GCN model to classify nodes within a social network graph. The dataset contains features for each user (node), edges representing relationships, and target labels ...
Abstract: This letter proposes a multiple station-based seismic event classification model using a deep convolution neural network (CNN) and graph convolution network (GCN). To classify various ...
The latest advance in recommendation shows that better user and item representations can be learned via performing graph convolutions on the user-item interaction graph. However, such finding is ...
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