Dec 16, 2022 · In this paper, we proposed a novel Graph Neural Network based model with temporal and interactive features for rumors detection. We leverage ...
Dec 10, 2022 · Combining Temporal and Interactive Features for Rumor Detection: A Graph Neural Network Based Model. December 2022; Neural Processing Letters 55 ...
Combining Temporal and Interactive Features for Rumor Detection: A Graph Neural Network Based Model.
Bibliographic details on Combining Temporal and Interactive Features for Rumor Detection: A Graph Neural Network Based Model.
Combining Temporal and Interactive Features for Rumor Detection: A Graph Neural Network Based Model. S. Han, K. Yu, X. Su, and X. Wu. Neural Process.
In this paper, a new rumor detection method (T-BiGAT) is proposed to capture the temporal features between tweets by combining a graph attention network (GAT) ...
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Firstly, we propose a partition approach to model the dynamic evolution of propagation structure and then use temporal attention based neural model to learn ...
Apr 22, 2024 · Our paper summarizes related work in four areas: rumor detection; graph neural networks; adversarial training; and contrast learning. 2.1 Rumor ...
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al.[2] proposed a rumor detection model incorporating temporal feature information, the paper used recurrent neural networks to capture contextual features that ...
Combining Temporal and Interactive Features for Rumor Detection: A Graph Neural Network Based Model ... interactive features for rumors detection. We ...