Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...

November’s job report may be distorted as a result of the government shutdown, limiting how much it will influence the Federal Reserve’s next interest rate decision in January. By Ben Casselman and ...

CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...

Imagine standing atop a mountain, gazing at the vast landscape below, trying to make sense of the world around you. For centuries, explorers relied on such vantage points to map their surroundings.

Chart House, a waterfront seafood-and-steak joint in Philadelphia, is closing next month after 38 years, the restaurant's parent company Landry's said. The restaurant sits on a pier on the Delaware ...

Abstract: This article proposes an integration between a graph framework for circuit representation and a Graph neural network (GNN) model suitable for different machine learning (ML) applications.