And we propose a novel annealing attention model based on the analysis. The proposed model learns feature-attention and temporal-attention with multi-layer ...
Abstract—Rumor propagation is becoming easier and leads to severe consequences for society in several minutes or hours.
A hierarchical attention network with user and sentiment information (HiAN-US) for rumor detection, which first uses the transformer encoder to learn the ...
Detecting Rumor on Microblogging Platforms via a Hybrid Stance ...
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Motivated by this inspiration, in this paper, we propose a Rumor Detection Model with a Hybrid Stance Attention Mechanism (RDM-HSAM). The RDM-HSAM consists of ...
Based on the supernetwork theory, a two-step rumor detection model was proposed. The first step was the classification of users on the basis of user-based ...
Missing: Annealing Attention
Shu et al. [13] proposed a content-based semi-supervised deep learning LSTM model to facilitate fake news detection with diverse features in news content, ...
May 3, 2022 · ... network model with deep attention. This model extracts ... Annealing attention networks for user feature-based rumor early detection on Weibo.
Sep 22, 2022 · Hence, the detection based on unimodal features is far from enough, and accordingly, we focus on multimodal fake news detection in this paper.
Sep 9, 2019 · Simulated annealing based influence maximization in social networks[C] // Proceedings of the 25th AAAI Conference on Artificial Intelligence.
Nov 3, 2022 · This survey draws a broad-stroke, panoramic picture of the State of the Art (SoTA) of the research in generative methods for the analysis of ...