Graph convolutional networks (GCNs) emerge as the most successful learning models for graph-structured data. Despite their success, existing GCNs usually ignore the entangled latent factors typically ...

The left map illustrates the cumulative melt days on the Greenland Ice Sheet for the 2025 melt season through June 30. The ...

In June 2021, a deadly heat wave pushed temperatures to 109 degrees Fahrenheit (43 Celsius) in Spokane, Washington, a northern city near the Idaho bo ...

Over-smoothing has emerged as a severe obstacle to node classification with message passing based graph convolutional networks (GCNs). Classification performance dramatically deteriorates for deep ...

Climate change has already caused significant declines in coral reef coverage globally and is expected to do much further ...