计算机科学
段落
图形
人工神经网络
构造(python库)
人工智能
特征(语言学)
依赖关系(UML)
依赖关系图
机器学习
数据挖掘
模式识别(心理学)
理论计算机科学
万维网
计算机网络
语言学
哲学
作者
Xiaozhen Ren,Ziyan Yuan,Jiaming Huang
摘要
In this paper, we address the characteristics of various associations implied between fake reviewers and fake reviews, and the ability to construct review network graphs with dependency relationships. Firstly, we use graph neural networks to extract association features between reviews, propose a method to improve graph neural networks based on TrustRank and propose a multi-feature detection framework. Then the graph neural network is used to aggregate neighborhood feature output embeddings and connect them with the paragraph vectors extracted by Doc2vec. Finally, the experiments show that the algorithm in this paper can detect more fake reviews and has a better check-all effect.
科研通智能强力驱动
Strongly Powered by AbleSci AI