| Signed graph convolutional networks T Derr, Y Ma, J Tang 2018 IEEE International Conference on Data Mining (ICDM), 929-934, 2018 | 438 | 2018 |
| Node similarity preserving graph convolutional networks W Jin, T Derr, Y Wang, Y Ma, Z Liu, J Tang Proceedings of the 14th ACM international conference on web search and data …, 2021 | 352 | 2021 |
| 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 | 298 | 2020 |
| Knowledge graph prompting for multi-document question answering Y Wang, N Lipka, RA Rossi, A Siu, R Zhang, T Derr Proceedings of the AAAI conference on artificial intelligence 38 (17), 19206 …, 2024 | 282 | 2024 |
| Stock selection via spatiotemporal hypergraph attention network: A learning to rank approach R Sawhney, S Agarwal, A Wadhwa, T Derr, RR Shah Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 497-504, 2021 | 189 | 2021 |
| Improving fairness in graph neural networks via mitigating sensitive attribute leakage Y Wang, Y Zhao, Y Dong, H Chen, J Li, T Derr Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 140 | 2022 |
| Decision boundaries of deep neural networks H Karimi, T Derr IEEE International Conference on Machine Learning and Applications (ICMLA …, 2022 | 121* | 2022 |
| A survey of mamba H Qu, L Ning, R An, W Fan, T Derr, H Liu, X Xu, Q Li arXiv preprint arXiv:2408.01129, 2024 | 114 | 2024 |
| Personalization of large language models: A survey Z Zhang, RA Rossi, B Kveton, Y Shao, D Yang, H Zamani, F Dernoncourt, ... arXiv preprint arXiv:2411.00027, 2024 | 113 | 2024 |
| Fairness and diversity in recommender systems: a survey Y Zhao, Y Wang, Y Liu, X Cheng, CC Aggarwal, T Derr ACM Transactions on Intelligent Systems and Technology 16 (1), 1-28, 2025 | 107 | 2025 |
| Tree decomposed graph neural network Y Wang, T Derr Proceedings of the 30th ACM international conference on information …, 2021 | 105 | 2021 |
| Collaboration-Aware Graph Convolutional Network for Recommender Systems Y Wang, Y Zhao, Y Zhang, T Derr Proceedings of the ACM Web Conference 2023, 91-101, 2023 | 103* | 2023 |
| Attacking black-box recommendations via copying cross-domain user profiles W Fan, T Derr, X Zhao, Y Ma, H Liu, J Wang, J Tang, Q Li 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1583-1594, 2021 | 100 | 2021 |
| Deep adversarial social recommendation W Fan, T Derr, Y Ma, J Wang, J Tang, Q Li arXiv preprint arXiv:1905.13160, 2019 | 99 | 2019 |
| Graph adversarial attack via rewiring Y Ma, S Wang, T Derr, L Wu, J Tang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 98 | 2021 |
| Attacking graph convolutional networks via rewiring Y Ma, S Wang, T Derr, L Wu, J Tang arXiv preprint arXiv:1906.03750, 2019 | 98 | 2019 |
| Balance in signed bipartite networks T Derr, C Johnson, Y Chang, J Tang Proceedings of the 28th ACM International Conference on Information and …, 2019 | 88* | 2019 |
| Imbalanced graph classification via graph-of-graph neural networks Y Wang, Y Zhao, N Shah, T Derr Proceedings of the 31st ACM International Conference on Information …, 2022 | 84 | 2022 |
| Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network T Derr*, H Karimi*, J Huang, J Tang In Proceedings of the 13th International Conference on Educational Data …, 2020 | 75* | 2020 |
| Deep adversarial network alignment T Derr, H Karimi, X Liu, J Xu, J Tang Proceedings of the 30th ACM international conference on information …, 2021 | 72 | 2021 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
