Abstract: Graph unlearning has emerged as a pivotal method to delete information from an already trained graph neural network (GNN). One may delete nodes, a class of nodes, edges, or a class of edges.

In 2023, IBM unveiled Condor, a quantum chip that passed over the 1,000-qubit mark by reaching 1,121 superconducting qubits, ...

Abstract: Recent years have witnessed fast developments of graph neural networks (GNNs) that have benefited myriad graph analytic tasks and applications. Most GNNs rely on the homophily assumption ...

In February, a user named EricKeller2 posted on Reddit. “I mapped every connection in the Epstein files,” he wrote. He had built a website and database of more than 1.5 million files related to the ...

Sales of British shows to American buyers soared above $1B for the first time in 2024, but it was by no means just the streamers buying into the British invasion, according to Pact‘s latest UK TV ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Internal software failure caused global Starlink outage Outage lasted 2.5 hours, affecting tens of thousands of users Speculation on cause includes software update or cyberattack July 24 (Reuters) - ...

ABSTRACT: This research investigates the impact of the road network topological structure on facility location modeling. We create four types of road networks, i.e., the radial, the grid, the ring, ...

According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s. They’ve now both been proved wrong. It started with a bet. In the late 1980s, at a ...