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Jian Kang
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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
1262020
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
1132021
Do we really need complicated model architectures for temporal networks?
W Cong, S Zhang, J Kang, B Yuan, H Wu, X Zhou, H Tong, M Mahdavi
arXiv preprint arXiv:2302.11636, 2023
642023
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network
J Kang, Y Zhu, Y Xia, J Luo, H Tong
Proceedings of the ACM Web Conference 2022, 2022
552022
Infofair: Information-theoretic intersectional fairness
J Kang, T Xie, X Wu, R Maciejewski, H Tong
2022 IEEE International Conference on Big Data (Big Data), 1455-1464, 2022
38*2022
Fair graph mining
J Kang, H Tong
Proceedings of the 30th ACM International Conference on Information …, 2021
312021
Fairrankvis: A visual analytics framework for exploring algorithmic fairness in graph mining models
T Xie, Y Ma, J Kang, H Tong, R Maciejewski
IEEE transactions on visualization and computer graphics 28 (1), 368-377, 2021
272021
JuryGCN: quantifying jackknife uncertainty on graph convolutional networks
J Kang, Q Zhou, H Tong
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
202022
N2n: Network derivative mining
J Kang, H Tong
Proceedings of the 28th ACM International Conference on Information and …, 2019
192019
Aurora: Auditing pagerank on large graphs
J Kang, M Wang, N Cao, Y Xia, W Fan, H Tong
2018 IEEE International Conference on Big Data (Big Data), 713-722, 2018
172018
X-rank: Explainable ranking in complex multi-layered networks
J Kang, S Freitas, H Yu, Y Xia, N Cao, H Tong
Proceedings of the 27th ACM International Conference on Information and …, 2018
122018
IMBENS: Ensemble class-imbalanced learning in Python
Z Liu, J Kang, H Tong, Y Chang
arXiv preprint arXiv:2111.12776, 2021
112021
Graph Ranking Auditing: Problem Definition and Fast Solutions
M Wang, J Kang, N Cao, Y Xia, W Fan, H Tong
IEEE Transactions on Knowledge and Data Engineering, 2020
92020
Bemap: Balanced message passing for fair graph neural network
X Lin, J Kang, W Cong, H Tong
Learning on Graphs Conference, 37: 1-37: 25, 2024
62024
Algorithmic fairness on graphs: Methods and trends
J Kang, H Tong
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
62022
ifig: Individually fair multi-view graph clustering
Y Wang, J Kang, Y Xia, J Luo, H Tong
2022 IEEE International Conference on Big Data (Big Data), 329-338, 2022
42022
Ensuring user-side fairness in dynamic recommender systems
H Yoo, Z Zeng, J Kang, R Qiu, D Zhou, Z Liu, F Wang, C Xu, E Chan, ...
Proceedings of the ACM on Web Conference 2024, 3667-3678, 2024
32024
Deceptive fairness attacks on graphs via meta learning
J Kang, Y Xia, R Maciejewski, J Luo, H Tong
arXiv preprint arXiv:2310.15653, 2023
22023
Conformalized Link Prediction on Graph Neural Networks
T Zhao, J Kang, L Cheng
arXiv preprint arXiv:2406.18763, 2024
12024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
A Subramonian, J Kang, Y Sun
arXiv preprint arXiv:2404.03139, 2024
12024
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