Deterrent: Knowledge guided graph attention network for detecting healthcare misinformation

L Cui, H Seo, M Tabar, F Ma, S Wang… - Proceedings of the 26th …, 2020 - dl.acm.org
To provide accurate and explainable misinformation detection, it is often useful to take an
auxiliary source (eg, social context and knowledge base) into consideration. Existing …
被引用次数：164 相关文章

[引用][C] DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation

L Cui, H Seo, M Tabar, F Ma, S Wang… - Proceedings of the 26th …, 2020 - cir.nii.ac.jp
DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare
Misinformation | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …

DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation

L Cui, H Seo, M Tabar, F Ma, S Wang… - 26th ACM SIGKDD …, 2020 - pure.psu.edu
To provide accurate and explainable misinformation detection, it is often useful to take an
auxiliary source (eg, social context and knowledge base) into consideration. Existing …
[PDF] nsf.gov

[PDF][PDF] DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation

L Cui, H Seo, M Tabar, F Ma, S Wang… - 2020 ACM SIGKDD …, 2020 - par.nsf.gov
To provide accurate and explainable misinformation detection, it is often useful to take an
auxiliary source (eg, social context and knowledge base) into consideration. Existing …
[PDF] psu.edu

[PDF][PDF] DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation

L Cui, H Seo, M Tabar, F Ma, S Wang, D Lee - 2020 - pike.psu.edu
To provide accurate and explainable misinformation detection, it is often useful to take an
auxiliary source (eg, social context and knowledge base) into consideration. Existing …