Abstract: Dynamic graph-based data are ubiquitous in the real world, such as social networks, finance systems, and traffic flow. Fast and accurately detecting anomalies in these dynamic graphs is of ...
Identifying Hate Speech Through Syntax Dependency Graph Convolution and Sentiment Knowledge Transfer
Abstract: In recent years, hate speech spread on the Internet has seriously affected society’s harmony, stability, and development. A way to quickly identify hate speech from the vast amount of data ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
ABSTRACT: Graph burning is a model to describe the spread of social influence. In 2023, Song et al. proposed the Independent Cascade Graph Burning model, where a vertex v can be burned by its burning ...
Each version of Microsoft’s SQL Server comes with five years of full support, followed by five years of security-only updates. Here are five questions to ask before your next upgrade. 1. Should My ...
ABSTRACT: SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning ...
According to @transformercircuits, attribution graphs have been developed as a method to address persistent challenges in AI model interpretability. Their recent publication explains how these graphs ...
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