Existing GNNs usually conduct the layer-wise message propagation via the ‘full’ aggregation of all neighborhood information which are usually sensitive to the structural noises existed in the graphs, ...

As a CHRO or Chief Learning Officer, there are things you wish you had, but likely don't: a fast way to find internal experts, a simple method to extract ...

Add this topic to your repo To associate your repository with the rdf-graph topic, visit your repo's landing page and select "manage topics." ...

Multimodal recommendation systems have made significant progress by leveraging graph convolutional networks to integrate user behavior with item content, including images and text. However, these ...

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Source: Ray Wills. The next graph provides another illustration of the respective drive train market shares over the last five years. EVs overtook hybrids and plug in hybrids briefly in October, 2022, ...