Kamu erişimi zorunlu olan makaleler - Suhang WangDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 1
Local and global information preserved network embedding
Y Ma, S Wang, J Tang
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
Zorunlu olanlar: US National Science Foundation
Bir yerde sunuluyor: 113
Fake News Detection on Social Media: A Data Mining Perspective
K Shu, A Sliva, S Wang, J Tang, H Liu
SIGKDD Explorations, 2017
Zorunlu olanlar: US Department of Defense
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
Zorunlu olanlar: US National Science Foundation
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
Zorunlu olanlar: US National Science Foundation
Beyond News Contents: The Role of Social Context for Fake News Detection
K Shu, S Wang, H Liu
WSDM, 2019
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Graph Structure Learning for Robust Graph Neural Networks
W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang
KDD, 2020
Zorunlu olanlar: US National Science Foundation
dEFEND: Explainable Fake News Detection
K Shu, L Cui, S Wang, D Lee, H Liu
KDD, 2019
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Understanding User Profiles on Social Media for Fake News Detection
K Shu, S Wang, H Liu
MIPR, 2018
Zorunlu olanlar: US Department of Defense
Graph Convolutional Networks with EigenPooling
Y Ma, S Wang, CC Aggarwal, J Tang
KDD, 2019
Zorunlu olanlar: US National Science Foundation
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
Zorunlu olanlar: National Natural Science Foundation of China
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
Zorunlu olanlar: US National Science Foundation
Signed Network Embedding in Social Media
S Wang, J Tang, C Aggarwal, Y Chang, H Liu
SDM 2017, 2017
Zorunlu olanlar: US National Science Foundation, US Department of Defense
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
Zorunlu olanlar: US National Science Foundation, US Department of Defense
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
Zorunlu olanlar: US National Science Foundation
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
Zorunlu olanlar: US National Science Foundation, US National Institutes of Health
The Role of User Profile for Fake News Detection
K Shu, X Zhou, S Wang, R Zafarani, H Liu
ASONAM, 2019
Zorunlu olanlar: US Department of Defense
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation
K Shu, D Mahudeswaran, S Wang, H Liu
ICWSM, 2020
Zorunlu olanlar: US National Science Foundation
Transferring Robustness for Graph Neural Network Against Poisoning Attacks
X Tang, Y Li, Y Sun, H Yao, P Mitra, S Wang
WSDM, 2020
Zorunlu olanlar: US National Science Foundation
Graph Few-shot Learning via Knowledge Transfer
H Yao, C Zhang, Y Wei, M Jiang, S Wang, J Huang, NV Chawla, Z Li
AAAI, 2020
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Mining disinformation and fake news: Concepts, methods, and recent advancements
K Shu, S Wang, D Lee, H Liu
Disinformation, misinformation, and fake news in social media: Emerging …, 2020
Zorunlu olanlar: US National Science Foundation, US Department of Defense
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