Abstract: Graph Contrastive Learning (GCL) plays a crucial role in multimedia applications due to its effectiveness in analyzing graph-structured data. Existing GCL methods focus on maximizing the ...

RIDOT’s new weight monitoring system, described as a “heart monitor for a bridge,” is providing real-time data showing the Washington Bridge remains stable as it carries traffic in both directions.

ON SEPTEMBER 10th Charlie Kirk, a right-wing activist, was shot dead while speaking at a university in Utah. Although a suspect is in custody, the motive of the killer is still unknown. President ...

A galaxy proto-supercluster was discovered using VIMOS instrument of ESO’s Very Large Telescope. The astronomers who discovered it have nicknamed the bohemoth “Hyperion.” It has been visualized here.

TORONTO--(BUSINESS WIRE)--Structure Research, a leading independent research firm focused on cloud and data centre infrastructure, has released its latest reports: the Kuala Lumpur DCAI Report 2025: ...

Section 1. Policy and Purpose. My Administration has inaugurated a golden age for American manufacturing and technological dominance. We will pursue bold, large-scale industrial plans to vault the ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

COLUMBUS, Ohio (WCMH) — The Public Utilities Commission of Ohio on Wednesday ordered AEP Ohio to file for new tariffs, or rate structures, that apply specifically to data centers in an effort to ...

Alliant is making good on its plans to build a modern, data-driven marketing platform through M&A. The audience platform announced Monday that it’s acquiring data insights and analytics company ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...

High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...