We proposed a novel post-based augmentation representation approach to process post content of rumour events in the early stages of their dissemination.
BCMM: A novel post-based augmentation representation for early rumour detection on social media · List of references · Publications that cite this publication.
Sep 13, 2024 · 论文成果. BCMM: A novel post-based augmentation representation for early rumour detection on social media. 点击次数：78.
Apr 16, 2024 · BCMM: A novel post-based augmentation representation for early rumour detection on social media. Pattern Recognition , 113 , 107818. Ding, T ...
For instance, Luo et al. [21] proposed a novel post-based augmentation representation for rumor detection, which achieved a high accuracy rate of 80.09% in ...
Collaborative representation with curriculum classifier ... BCMM: A novel post-based augmentation representation for early rumour detection on social media.
Dec 2, 2024 · 2021. BCMM: A novel post-based augmentation representation for early rumour detection on social media. Pattern Recognition 113 (2021), 107818.
Dec 12, 2024 · In this paper, we propose a novel approach that incorporates temporal information by constructing a weighted propagation tree, where the weight ...
May 21, 2022 · In this paper, we propose a novel model for rumor detection based on Graph Neural Networks (GNN), named Hierarchically Aggregated Graph Neural Networks (HAGNN).
Missing: BCMM: | Show results with:BCMM:
Dec 12, 2022 · BCMM: A novel post-based augmentation representation for early rumour detection on social media. Yongcong Luo ... Chai Kiat Yeo. Pattern ...