In recent years, graph neural networks (GNNs)-based methods have been widely adopted for heterogeneous (HG) embedding, due to their power in effectively encoding rich information from a HG into the low-dimensional node embeddings. However, previous works usually easily fail fully leverage inherent heterogeneity and semantics contained complex local structures of HGs. On one hand, most existing ...

Person re-identification (Re-ID) is a challenging task due to variations in pedestrian images, especially cross-domain scenarios. The existing person Re-ID approaches extract the feature from single image, but they ignore correlations among images. In this paper, we propose Heterogeneous Convolutional Network (HCN) for Re-ID, which learns appearance information of images and simultaneously. To ...

In the above article [1] , in Section II-B.1)a, titled “Outer Encoding,” first sentence of second paragraph should be corrected to consistently use $\Omega _{j}$ </inlin...

urban landscape structural analysis; focused on the remnant patch mosaic network as the component with closest interdependency with air and water related processes was undertaken to find and propose environmental planning suggestions.assessments demonstrate that remnant patch mosaic network structure of tehran is still restorable. with appropriate corrective measures based on the natural lay ou...