Fake News Detection on Social Media: A Data Mining Perspective K Shu, A Sliva, S Wang, J Tang, H Liu SIGKDD Explorations, 2017 | 3584 | 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 | 3126 | 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 | 1176 | 2020 |
Beyond News Contents: The Role of Social Context for Fake News Detection K Shu, S Wang, H Liu WSDM, 2019 | 664 | 2019 |
dEFEND: Explainable Fake News Detection K Shu, L Cui, S Wang, D Lee, H Liu KDD, 2019 | 627 | 2019 |
Graph Structure Learning for Robust Graph Neural Networks W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang KDD, 2020 | 573 | 2020 |
Understanding User Profiles on Social Media for Fake News Detection K Shu, S Wang, H Liu MIPR, 2018 | 420 | 2018 |
Graph Convolutional Networks with EigenPooling Y Ma, S Wang, CC Aggarwal, J Tang KDD, 2019 | 360 | 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 | 353 | 2019 |
Signed Network Embedding in Social Media S Wang, J Tang, C Aggarwal, Y Chang, H Liu SDM 2017, 2017 | 299 | 2017 |
User Identity Linkage across Online Social Networks: A Review K Shu, S Wang, J Tang, R Zafarani, H Liu SIGKDD Explorations, 2016 | 299 | 2016 |
Embedded Unsupervised Feature Selection S Wang, J Tang, H Liu AAAI 2015, 2015 | 295 | 2015 |
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 | 285 | 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 | 277 | 2021 |
The Role of User Profile for Fake News Detection K Shu, X Zhou, S Wang, R Zafarani, H Liu ASONAM, 2019 | 244 | 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 | 235 | 2021 |
Exploiting tri-relationship for fake news detection K Shu, S Wang, H Liu arXiv preprint arXiv:1712.07709 8, 2017 | 228 | 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 | 222* | 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 | 198 | 2020 |
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation K Shu, D Mahudeswaran, S Wang, H Liu ICWSM, 2020 | 194 | 2020 |