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Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph
  Convolutional Networks for Rumor Detection

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection

26 July 2021
Lingwei Wei
Dou Hu
Wei Zhou
Zhaojuan Yue
Songlin Hu
ArXivPDFHTML

Papers citing "Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection"

18 / 18 papers shown
Title
FANG: Leveraging Social Context for Fake News Detection Using Graph
  Representation
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
Van-Hoang Nguyen
Kazunari Sugiyama
Preslav Nakov
Min-Yen Kan
GNN
FedML
14
284
0
18 Aug 2020
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News
  Detection on Social Media
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
Yi-Ju Lu
Cheng-Te Li
GNN
60
392
0
24 Apr 2020
Interpretable Rumor Detection in Microblogs by Attending to User
  Interactions
Interpretable Rumor Detection in Microblogs by Attending to User Interactions
Ling Min Serena Khoo
Hai Leong Chieu
Zhong Qian
Jing Jiang
17
196
0
29 Jan 2020
Rumor Detection on Social Media with Bi-Directional Graph Convolutional
  Networks
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
Tian Bian
Xi Xiao
Tingyang Xu
P. Zhao
Wenbing Huang
Yu Rong
Junzhou Huang
GNN
27
592
0
17 Jan 2020
Learning from the Past: Continual Meta-Learning via Bayesian Graph
  Modeling
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling
Yadan Luo
Zi Huang
Zheng Zhang
Ziwei Wang
Mahsa Baktashmotlagh
Yang Yang
CLL
BDL
27
24
0
12 Nov 2019
Modeling Conversation Structure and Temporal Dynamics for Jointly
  Predicting Rumor Stance and Veracity
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity
Penghui Wei
Nan Xu
Wenji Mao
70
72
0
18 Sep 2019
Jointly embedding the local and global relations of heterogeneous graph
  for rumor detection
Jointly embedding the local and global relations of heterogeneous graph for rumor detection
Chunyuan Yuan
Qianwen Ma
Wei Zhou
Jizhong Han
Songlin Hu
179
142
0
10 Sep 2019
DialogueGCN: A Graph Convolutional Neural Network for Emotion
  Recognition in Conversation
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Deepanway Ghosal
Navonil Majumder
Soujanya Poria
Niyati Chhaya
Alexander Gelbukh
55
511
0
30 Aug 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley J. Maddox
T. Garipov
Pavel Izmailov
Dmitry Vetrov
A. Wilson
BDL
UQCV
52
801
0
07 Feb 2019
Bayesian graph convolutional neural networks for semi-supervised
  classification
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang
Soumyasundar Pal
Mark Coates
Deniz Üstebay
GNN
BDL
48
227
0
27 Nov 2018
Session-based Recommendation with Graph Neural Networks
Session-based Recommendation with Graph Neural Networks
Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
GNN
25
1,549
0
01 Nov 2018
Graph Convolutional Networks for Text Classification
Graph Convolutional Networks for Text Classification
Liang Yao
Chengsheng Mao
Yuan Luo
GNN
27
1,815
0
15 Sep 2018
All-in-one: Multi-task Learning for Rumour Verification
All-in-one: Multi-task Learning for Rumour Verification
E. Kochkina
Maria Liakata
A. Zubiaga
31
225
0
10 Jun 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
190
19,902
0
30 Oct 2017
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks
  for Early Rumor Detection
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection
Tong Chen
Lin Wu
Xue Li
Jun Zhang
Hongzhi Yin
Yang Wang
36
272
0
20 Apr 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
108
4,772
0
17 Mar 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
99
149,474
0
22 Dec 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
167
33,445
0
16 Oct 2013
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