Morningstar

Hyperscale Data Reduces Debt by $30 Million, Strengthening Capital Structure to Advance AI and Bitcoin Operations

LAS VEGAS, Oct. 9, 2025 /PRNewswire/ -- Hyperscale Data, Inc. (NYSE American: GPUS), a diversified holding company ("Hyperscale Data" or the "Company"), today announced that it has reduced its ...
SiliconANGLE

CrowdStrike’s Enterprise Graph aims to redefine AI-era security

CrowdStrike Holdings Inc.’s Enterprise Graph solution is the company’s latest defense against cyberattacks fueled by agentic artificial intelligence. The innovation is part of the company’s new ...
IEEE

Tensor-Representation-Based Multiview Attributed Graph Clustering With Smooth Structure

Abstract: Over the past few years, multiview attributed graph clustering has achieved promising performance via various data augmentation strategies. However, we observe that the aggregation of node ...
C&EN

Integrating ESM-2 and Graph Neural Networks with AlphaFold-2 Structures for Enhanced Protein Function Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
IEEE

Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics

Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...
Scientific Research Publishing

A Maritime Document Knowledge Graph Construction Method Based on Conceptual Proximity Relations ()

1 COSCO Shipping Technology Co., Ltd., Shanghai, China. 2 COSCO Shipping Specialized Carriers Co., Ltd., Guangzhou, China. The cost and strict input format requirements of GraphRAG make it less ...
marktechpost

Graph Generative Pre-trained Transformer (G2PT): An Auto-Regressive Model Designed to Learn Graph Structures through Next-Token Prediction

Graph generation is an important task across various fields, including molecular design and social network analysis, due to its ability to model complex relationships and structured data. Despite ...
marktechpost

GORAM: A Graph-Oriented Data Structure that Enables Efficient Ego-Centric Queries on Federated Graphs with Strong Privacy Guarantees

Ego-centric searches are essential in many applications, from financial fraud detection to social network research, because they concentrate on a single vertex and its immediate neighbors. These ...