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The presence of a large number of bots in Online Social Networks (OSN) leads to undesirable social effects.
“Smote: Synthetic minority over-sampling technique,”
N. Chawla, K. Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer, · 2002
Earlier work this paper cites.
“The rise of social bots,”
Emilio Ferrara, Onur Varol, Clayton A. Davis, Filippo Menczer, and Alessandro Flammini, · 2014
Earlier work this paper cites.
“Fame for sale: Efficient detection of fake twitter followers,”
Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi, and Maurizio Tesconi, · 2015
Earlier work this paper cites.
“Semi-supervised classification with graph convolutional networks,”
Thomas Kipf and Max Welling, · 2016
Earlier work this paper cites.
“The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race,”
Stefano Cresci, Roberto Di Pietro, Marinella Petrocchi, et al., · 2017
Earlier work this paper cites.
“Of bots and humans (on twitter),”
Zafar Gilani, Reza Farahbakhsh, Gareth Tyson, Liang Wang, and Jon A. Crowcroft, · 2017
Earlier work this paper cites.
“Focal loss for dense object detection,”
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, and Piotr Dollár, · 2017
Earlier work this paper cites.
“Inductive representation learning on large graphs,”
William L. Hamilton, Zhitao Ying, and Jure Leskovec, · 2017
Earlier work this paper cites.
Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio’, and Yoshua Bengio, · 2017
Cited alongside, same era.
“Scalable and generalizable social bot detection through data selection,”
Kai-Cheng Yang, Onur Varol, Pik-Mai Hui, and Filippo Menczer, · 2019
Cited alongside, same era.
“Class-balanced loss based on effective number of samples,”
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, and Serge J. Belongie, · 2019
Cited alongside, same era.
“The false positive problem of automatic bot detection in social science research,”
Adrian Rauchfleisch and Jonas Kaiser, · 2020
Cited alongside, same era.
“Multi-class imbalanced graph convolutional network learning,”
Min Shi, Yufei Tang, Xingquan Zhu, et al., · 2020
Cited alongside, same era.
“Twibot-20: A comprehensive twitter bot detection benchmark,”
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, and Minnan Luo, · 2021
Later among the works it cites.
“Graphsmote: Imbalanced node classification on graphs with graph neural networks,”
Tianxiang Zhao, Xiang Zhang, and Suhang Wang, · 2021
Later among the works it cites.
“Ra-gcn: Graph convolutional network for disease prediction problems with imbalanced data,”
Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, and Nassir Navab, · 2021
Later among the works it cites.
“Twibot-22: Towards graph-based twitter bot detection,”
Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qing Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, and Minnan Luo, · 2022
Later among the works it cites.
“Graphdive: Graph classification by mixture of diverse experts,”
Fenyu Hu, Liping Wang, Q. Liu, Shu Wu, Liang Wang, and Tieniu Tan, · 2022
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“Satar: A self-supervised approach to twitter account representation learning and its application in bot detection,”
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, and Minnan Luo, · 2021
Cited alongside, same era.
“Botrgcn: Twitter bot detection with relational graph convolutional networks,”
Shangbin Feng, Herun Wan, Ningnan Wang, and Minnan Luo, · 2021
Cited alongside, same era.
“Heterogeneity-aware twitter bot detection with relational graph transformers,”
Shangbin Feng, Zhaoxuan Tan, Rui Li, and Minnan Luo, · 2021
Cited alongside, same era.
“Anonymity can help minority: A novel synthetic data over-sampling strategy on multi-label graphs,”
Yijun Duan, Xin Liu, Adam Jatowt, et al.,
Cited in the paper.
Later among the works it cites.
“Graphens: Neighbor-aware ego network synthesis for class-imbalanced node classification,”
Joonhyung Park, Jae gyun Song, and Eunho Yang, · 2022
Later among the works it cites.
“Mgtab: A multi-relational graph-based twitter account detection benchmark,”
Shuhao Shi, Kai Qiao, Jian Chen, et al., · 2023
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