Articles with "trained bipartite" as a keyword



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L-BGNN: Layerwise Trained Bipartite Graph Neural Networks.

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

DOI: 10.1109/tnnls.2022.3171199

Abstract: Learning low-dimensional representations of bipartite graphs enables e-commerce applications, such as recommendation, classification, and link prediction. A layerwise-trained bipartite graph neural network (L-BGNN) embedding method, which is unsupervised, efficient, and scalable, is proposed in this… read more here.

Keywords: bipartite graph; trained bipartite; graph neural; layerwise ... See more keywords