| 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 | 157 | 2020 |
| 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 | 150 | 2023 |
| 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 | 134 | 2021 |
| 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 | 65 | 2022 |
| 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 | 50* | 2022 |
| Fair graph mining J Kang, H Tong Proceedings of the 30th ACM International Conference on Information …, 2021 | 36 | 2021 |
| 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 | 36 | 2021 |
| 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 | 23 | 2022 |
| N2n: Network derivative mining J Kang, H Tong Proceedings of the 28th ACM International Conference on Information and …, 2019 | 19 | 2019 |
| 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 | 18 | 2018 |
| IMBENS: Ensemble class-imbalanced learning in Python Z Liu, J Kang, H Tong, Y Chang arXiv preprint arXiv:2111.12776, 2021 | 17 | 2021 |
| 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 | 15 | 2024 |
| 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 Web Conference 2024, 3667-3678, 2024 | 14 | 2024 |
| 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 | 13 | 2018 |
| 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 | 12 | 2020 |
| Conformalized link prediction on graph neural networks T Zhao, J Kang, L Cheng Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 8 | 2024 |
| 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 | 7 | 2022 |
| Algorithmic fairness on graphs: Methods and trends J Kang, H Tong Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 6 | 2022 |
| Pagerank bandits for link prediction Y Ban, J Zou, Z Li, Y Qi, D Fu, J Kang, H Tong, J He Advances in Neural Information Processing Systems 37, 21342-21376, 2024 | 5 | 2024 |
| 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 | 5 | 2024 |
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Ross MaciejewskiProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Yinglong XiaFacebookVerified email at ieee.orgWeilin CongPenn State UniversityVerified email at psu.edu
Jingrui HeUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Mehrdad MahdaviAssociate Professor of Computer Science, Pennsylvania State UniversityVerified email at psu.edu
Jiebo Luo, Fellow of ACM/AAAI/IEEE/...Albert Arendt Hopeman Professor of Engineering, University of RochesterVerified email at cs.rochester.edu
Nan CaoProfessor, Intelligent Big Data Visualization Lab @ Tongji UniversityVerified email at tongji.edu.cn
Si ZhangMeta Platforms Inc.Verified email at fb.com
Xintao WuUniversity of ArkansasVerified email at uark.edu
Yan ZhuGoogleVerified email at google.com
