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Updated: Jan 9, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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一个混合的对比图神经网络框架用于虚假新闻和仇恨言论的检测,使用内容和用户交互信号来检测

V S Nivedita1, A Bazila Banu2

  • 1Department of Computer Science and Business Systems, KPR Institute of Engineering and Technology, Coimbatore, 641407, India. vs.nivedita@gmail.com.

Scientific reports
|December 4, 2025
PubMed
概括

在社交媒体上检测虚假讨论和攻击性言论是一项挑战. 一个新的基于混合图形的模型有效地整合了语义,行为和上下文数据,在识别有害内容方面实现了卓越的准确性.

关键词:
相反的学习学习.可信度评分 (credibility score) 是指一个可信度评分.图形建模 图形建模敌对的内容 敌对的内容错误的信息是错误的信息.误导性的检测检测是错误的语义编码器语义编码器社会互动 社交互动

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