Članki z zahtevami za javni dostop - Hanghang TongVeč o tem
Ni na voljo nikjer: 9
Vegas: Visual influence graph summarization on citation networks
L Shi, H Tong, J Tang, C Lin
IEEE Transactions on Knowledge and Data Engineering 27 (12), 3417-3431, 2015
Zahteve: US National Institutes of Health, National Natural Science Foundation of China
BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network
Z Zhu, H Tong, Y Wang, Y Li
IEEE Transactions on Knowledge and Data Engineering 35 (11), 11112-11125, 2022
Zahteve: US National Science Foundation, National Natural Science Foundation of China
Combining code context and fine-grained code difference for commit message generation
S Xu, Y Yao, F Xu, T Gu, H Tong
Proceedings of the 13th Asia-Pacific Symposium on Internetware, 242-251, 2022
Zahteve: National Natural Science Foundation of China
Canon: Complex analytics of network of networks for modeling adversarial activities
S Roach, C Ni, A Kopylov, TC Lu, J Xu, S Zhang, B Du, D Zhou, J Wu, ...
2020 IEEE International Conference on Big Data (Big Data), 1634-1643, 2020
Zahteve: US Department of Defense
Embedding text-rich graph neural networks with sequence and topical semantic structures
Z Yu, D Jin, Z Liu, D He, X Wang, H Tong, J Han
Knowledge and Information Systems 65 (2), 613-640, 2023
Zahteve: National Natural Science Foundation of China
Supervised link prediction using random walks
Y Liu, H Tong, L Xie, Y Tang
Social Media Processing: 4th National Conference, SMP 2015, Guangzhou, China …, 2015
Zahteve: US National Institutes of Health
Generalized few-shot node classification: toward an uncertainty-based solution
Z Xu, K Ding, YX Wang, H Liu, H Tong
Knowledge and Information Systems 66 (2), 1205-1229, 2024
Zahteve: US National Science Foundation, US Department of Defense
Network based models and path based features for gene prioritization
Y Liu, H Tong, X Lei, Y Tang
2016 IEEE 20th International Conference on Computer Supported Cooperative …, 2016
Zahteve: US National Science Foundation, US National Institutes of Health
Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued).
YR Lin, H Tong, J Tang, KS Candan
IEEE Trans. Big Data 2 (2), 100, 2016
Zahteve: National Natural Science Foundation of China
Na voljo nekje: 225
Graph convolutional networks: a comprehensive review
S Zhang, H Tong, J Xu, R Maciejewski
Computational Social Networks 6 (1), 1-23, 2019
Zahteve: US National Science Foundation, US Department of Defense
Final: Fast attributed network alignment
S Zhang, H Tong
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
Zahteve: US National Science Foundation, US National Institutes of Health
Hdmi: High-order deep multiplex infomax
B Jing, C Park, H Tong
Proceedings of the web conference 2021, 2414-2424, 2021
Zahteve: US National Science Foundation
Fairness-aware agnostic federated learning
W Du, D Xu, X Wu, H Tong
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
Zahteve: US National Science Foundation
Fast and reliable anomaly detection in categorical data
L Akoglu, H Tong, J Vreeken, C Faloutsos
Proceedings of the 21st ACM international conference on Information and …, 2012
Zahteve: Research Foundation (Flanders)
Inform: Individual fairness on graph mining
J Kang, J He, R Maciejewski, H Tong
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Zahteve: US National Science Foundation
Pc-fairness: A unified framework for measuring causality-based fairness
Y Wu, L Zhang, X Wu, H Tong
Advances in neural information processing systems 32, 2019
Zahteve: US National Science Foundation
Few-shot network anomaly detection via cross-network meta-learning
K Ding, Q Zhou, H Tong, H Liu
Proceedings of the web conference 2021, 2448-2456, 2021
Zahteve: US National Science Foundation, US Department of Defense
Individual fairness for graph neural networks: A ranking based approach
Y Dong, J Kang, H Tong, J Li
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
Zahteve: US National Science Foundation
Trustworthy graph neural networks: Aspects, methods, and trends
H Zhang, B Wu, X Yuan, S Pan, H Tong, J Pei
Proceedings of the IEEE, 2024
Zahteve: US National Science Foundation, Australian Research Council
Graph vulnerability and robustness: A survey
S Freitas, D Yang, S Kumar, H Tong, DH Chau
IEEE Transactions on Knowledge and Data Engineering 35 (6), 5915-5934, 2022
Zahteve: US National Science Foundation
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