Graph convolutional neural netwoks (GCNNs) have been emerged to handle graph-structured data in recent years. Most existing GCNNs are either spatial approaches working on neighborhood of each node, or ...

To avoid the overfitting phenomenon that appeared in performing graph neural networks (GNNs) on test examples, the feature encoding scheme of GNNs usually introduces the dropout procedure. However, ...

A judge temporarily blocked OpenAI Inc. from using the “io” monicker of a hardware company it acquired after a wearable audio-device maker accused the AI giant of trademark infringement.