| Signed graph convolutional networks T Derr, Y Ma, J Tang 2018 IEEE International Conference on Data Mining (ICDM), 929-934, 2018 | 308 | 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 | 230 | 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 | 210 | 2020 |
| 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 | 94 | 2021 |
| Characterizing the decision boundary of deep neural networks H Karimi, T Derr, J Tang arXiv preprint arXiv:1912.11460, 2019 | 82 | 2019 |
| Attacking graph convolutional networks via rewiring Y Ma, S Wang, T Derr, L Wu, J Tang arXiv preprint arXiv:1906.03750, 2019 | 81 | 2019 |
| Deep adversarial social recommendation W Fan, T Derr, Y Ma, J Wang, J Tang, Q Li arXiv preprint arXiv:1905.13160, 2019 | 80 | 2019 |
| 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 | 78 | 2022 |
| 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 | 70 | 2021 |
| 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 | 69 | 2021 |
| Tree decomposed graph neural network Y Wang, T Derr Proceedings of the 30th ACM international conference on information …, 2021 | 65 | 2021 |
| Balance in signed bipartite networks T Derr, C Johnson, Y Chang, J Tang Proceedings of the 28th ACM International Conference on Information and …, 2019 | 58* | 2019 |
| Deep adversarial network alignment T Derr, H Karimi, X Liu, J Xu, J Tang Proceedings of the 30th ACM international conference on information …, 2021 | 55 | 2021 |
| 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 | 53* | 2020 |
| Signed network modeling based on structural balance theory T Derr, C Aggarwal, J Tang Proceedings of the 27th ACM international conference on information and …, 2018 | 52 | 2018 |
| 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 | 49* | 2023 |
| Rose: Role-based signed network embedding A Javari, T Derr, P Esmailian, J Tang, KCC Chang Proceedings of the Web Conference 2020, 2782-2788, 2020 | 45 | 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 | 43 | 2024 |
| 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 | 42 | 2022 |
| Deep graph learning: Foundations, advances and applications Y Rong, T Xu, J Huang, W Huang, H Cheng, Y Ma, Y Wang, T Derr, L Wu, ... Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 39 | 2020 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State University在 msu.edu 的电子邮件经过验证
