ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2301.04341
  4. Cited By
A Meta Path-based Approach for Rumor Detection on Social Media
v1v2 (latest)

A Meta Path-based Approach for Rumor Detection on Social Media

11 January 2023
Bita Azarijoo
Mostafa Salehi
S. Najari
ArXiv (abs)PDFHTML

Papers citing "A Meta Path-based Approach for Rumor Detection on Social Media"

19 / 19 papers shown
Title
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for
  COVID-19 Fake News Detection
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection
William Scott Paka
Rachit Bansal
Abhay Kaushik
Shubhashis Sengupta
Tanmoy Chakraborty
FedMLGNN
75
120
0
17 Feb 2021
Early Detection of Fake News by Utilizing the Credibility of News,
  Publishers, and Users Based on Weakly Supervised Learning
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
Chunyuan Yuan
Qianwen Ma
Wei Zhou
Jizhong Han
Songlin Hu
GNN
221
69
0
08 Dec 2020
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
GNNFedML
69
285
0
18 Aug 2020
Heterogeneous Graph Attention Networks for Early Detection of Rumors on
  Twitter
Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter
Qi Huang
Junshuai Yu
Hongzhi Zhang
Bin Wang
59
59
0
10 Jun 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
119
394
0
24 Apr 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph
  Embedding
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Xinyu Fu
Jiani Zhang
Ziqiao Meng
Irwin King
119
881
0
05 Feb 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
72
601
0
17 Jan 2020
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
208
141
0
10 Sep 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
250
4,368
0
06 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,324
0
11 Oct 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
484
20,265
0
30 Oct 2017
Fake News Detection on Social Media: A Data Mining Perspective
Fake News Detection on Social Media: A Data Mining Perspective
Kai Shu
A. Sliva
Suhang Wang
Jiliang Tang
Huan Liu
GNNEgoV
91
2,790
0
07 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
808
132,725
0
12 Jun 2017
CSI: A Hybrid Deep Model for Fake News Detection
CSI: A Hybrid Deep Model for Fake News Detection
Natali Ruchansky
Sungyong Seo
Yan Liu
78
929
0
20 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
682
29,183
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
196
10,924
0
03 Jul 2016
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional
  Neural Networks for Sentence Classification
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification
Ye Zhang
Byron C. Wallace
AAML
124
1,201
0
13 Oct 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,414
0
03 Jun 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
NAIOCL
406
33,573
0
16 Oct 2013
1