Company to demonstrate how the new integrated Platform structures data into a trusted Semantic Backbone to guarantee ...

Abstract: This paper proposes a subgraph-aware classification framework that integrates efficient frequent subgraph mining with graph neural networks (GNNs) to address the limitations of existing GNNs ...

Abstract: A dynamic multi-scale spatiotemporal graph recurrent neural network (DMST-GRNN) model has been introduced, which is leveraged to use human motion prediction on a 3D skeleton-based human ...

Official Implementation of "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning". Reasoning on graphs (RoG) synergizes LLMs with KGs to enable faithful and interpretable ...

CharmHealth, a leader in healthcare technology solutions for providers, today unveiled an enhanced version of its integrated ...

Data centers use more electricity in the U.S. than in any other country — China included. In 2025, nearly 40% of all power demand from data centers came from facilities based in the U.S., according to ...

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

Nvidia acquires Kumo AI for $400M, boosting enterprise predictive models with graph neural networks and automation for global business data.

Adobe is bringing the workflow automation capabilities seen in tools such as ComfyUI into its Creative Cloud suite.

The HP OmniBook Ultra 14 is a luxurious portable laptop that provides solid portability alongside surprisingly excellent ...

Cequence Security, a pioneer in application security, today announced the launch of Intent Graph and Biometric Check, two new capabilities that extend the behavioral architecture Cequence has built on ...

Sub-headline: HUST researchers systematize SNA methods, building an evolutionary taxonomy based on graph representation ...