LAUSR

Aspect-Aware Graph Attention Network for Heterogeneous Information Networks.

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1 Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3213799

Abstract: Graph Convolutional Networks (GCNs) derive inspiration from recent advances in computer vision, by stacking layers of first-order filters followed by a nonlinear activation function to learn entity or graph embeddings. Although GCNs have been shown… read more here.

Keywords: information; network; aware graph; information networks ... See more keywords