Suhang Wang
Cited by
Cited by
Fake News Detection on Social Media: A Data Mining Perspective
K Shu, A Sliva, S Wang, J Tang, H Liu
SIGKDD Explorations, 2017
Feature selection: A data perspective
J Li, K Cheng, S Wang, F Morstatter, RP Trevino, J Tang, H Liu
ACM computing surveys (CSUR) 50 (6), 1-45, 2017
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media
K Shu, D Mahudeswaran, S Wang, D Lee, H Liu
Big Data 8 (3), 171-188, 2020
Beyond News Contents: The Role of Social Context for Fake News Detection
K Shu, S Wang, H Liu
WSDM, 2019
dEFEND: Explainable Fake News Detection
K Shu, L Cui, S Wang, D Lee, H Liu
KDD, 2019
Graph Structure Learning for Robust Graph Neural Networks
W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang
KDD, 2020
Understanding User Profiles on Social Media for Fake News Detection
K Shu, S Wang, H Liu
MIPR, 2018
Graph Convolutional Networks with EigenPooling
Y Ma, S Wang, CC Aggarwal, J Tang
KDD, 2019
Unsupervised fake news detection on social media: A generative approach
S Yang, K Shu, S Wang, R Gu, F Wu, H Liu
Proceedings of the AAAI conference on artificial intelligence 33 (01), 5644-5651, 2019
Signed Network Embedding in Social Media
S Wang, J Tang, C Aggarwal, Y Chang, H Liu
SDM 2017, 2017
Embedded Unsupervised Feature Selection
S Wang, J Tang, H Liu
AAAI 2015, 2015
User Identity Linkage across Online Social Networks: A Review
K Shu, S Wang, J Tang, R Zafarani, H Liu
SIGKDD Explorations, 2016
What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation
S Wang, Y Wang, J Tang, K Shu, S Ranagath, H Liu
WWW 2017, 2017
Graphsmote: Imbalanced node classification on graphs with graph neural networks
T Zhao, X Zhang, S Wang
Proceedings of the 14th ACM international conference on web search and data …, 2021
The Role of User Profile for Fake News Detection
K Shu, X Zhou, S Wang, R Zafarani, H Liu
ASONAM, 2019
Say no to the discrimination: Learning fair graph neural networks with limited sensitive attribute information
E Dai, S Wang
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
Exploiting tri-relationship for fake news detection
K Shu, S Wang, H Liu
arXiv preprint arXiv:1712.07709 8, 2017
Adversarial attacks on graph neural networks via node injections: A hierarchical reinforcement learning approach
Y Sun, S Wang, X Tang, TY Hsieh, V Honavar
Proceedings of the Web Conference 2020, 673-683, 2020
Self-supervised learning on graphs: Deep insights and new direction
W Jin, T Derr, H Liu, Y Wang, S Wang, Z Liu, J Tang
arXiv preprint arXiv:2006.10141, 2020
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation
K Shu, D Mahudeswaran, S Wang, H Liu
ICWSM, 2020
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