Abstract: Graph Convolutional Networks (GCNs) have emerged as a leading approach for semi-supervised node classification. However, due to the uneven distribution of labeled nodes in graphs, only a ...
Abstract: Understanding pedestrian behavior and predicting their intentions near roads are crucial for enhancing road safety and traffic efficiency. In intelligent transportation systems, especially ...
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