IEEE

Graph Learning for Power Flow Analysis: A Global-Receptive Graph Iteration Network Method

Abstract: The data-driven methods based on the graph convolution architecture provide a promising direction for accelerating power flow (PF) calculation. These methods directly predict operational ...
IEEE

DMIA: A Disentangled-Based Method for Graph Convolutional Network Against Membership Inference Attack

Abstract: As a well-known graph embedding method, Graph Convolutional Networks (GCNs) have been widely applied to recommendation systems and social media analysis, in which privacy concerns regarding ...
TechRepublic

Inventory Accounting: Methods & How It Works

Learn what inventory accounting is, how it works, and key methods like FIFO, LIFO, and WAC. Includes real-world examples, tips, and best practices. I like to think of inventory accounting like ...
C&EN

A Self-Developed Fire Early Warning System Based on Gas Detection and Graph Convolution Calculation Method

School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China Advanced Sensor Research Institution, Northeast Electric Power University, Jilin 132012, China School of ...
C&EN

Proposing a Method Using Graph Attention Networks for Predicting Water Injection and Energy Consumption: A Case Study of a Surface Oil and Gas Gathering Station in Jilin Oilfield

National engineering Research Center of Oil and Gas Pipeline Transportation Safety/MOE Key Laboratory of Petroleum Engineering/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, ...
VentureBeat

The graph database arms race: How Microsoft and rivals are revolutionizing cybersecurity

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Multidomain attacks are on the verge of ...
Frontiers

GTasm: a genome assembly method using graph transformers and HiFi reads

1 School of Software, Henan Polytechnic University, Jiaozuo, China 2 School of Computer and Information Engineering, Henan University, Kaifeng, China Motivation: Genome assembly aims to reconstruct ...
marktechpost

GraphIC: A Novel Machine Learning Approach that Leverages Graph-based Representations of Reasoning Processes Coupled with Bayesian Networks (BNs) to Select In-Context Examples ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...