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Abstract: In this era of information flooding, people are exposed to a large amount of information every day, and recommender systems can help users find valuable information. Recently, graph-based ...

In this letter, a deep-learning architecture for the enhancement of low-light images is proposed. The suggested model is optimized through a deep multilayer framework. The search for similar nonlocal ...

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The team proposed a Python-based library named XGCN, aiming at helping users quickly build and run large-scale GNNs in a single-machine environment.

4 Directed graph convolution neural networks for reward shaping. A DCN utilizes directed graph convolution to propagate messages α(S t) and β(S t). Here, we illustrate digraph Laplacian, network ...