| Touch and go: Learning from human-collected vision and touch F Yang, C Ma, J Zhang, J Zhu, W Yuan, A Owens arXiv preprint arXiv:2211.12498, 2022 | 28 | 2022 |
| Node proximity is all you need: Unified structural and positional node and graph embedding J Zhu, X Lu, M Heimann, D Koutra Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 25 | 2021 |
| Negater: unsupervised discovery of negatives in commonsense knowledge bases T Safavi, J Zhu, D Koutra arXiv preprint arXiv:2011.07497, 2020 | 17* | 2020 |
| TouchUp-G: Improving feature representation through graph-centric finetuning J Zhu, X Song, VN Ioannidis, D Koutra, C Faloutsos arXiv preprint arXiv:2309.13885, 2023 | 9 | 2023 |
| Caper: Coarsen, align, project, refine-a general multilevel framework for network alignment J Zhu, D Koutra, M Heimann Proceedings of the 31st ACM International Conference on Information …, 2022 | 6 | 2022 |
| Pitfalls in link prediction with graph neural networks: Understanding the impact of target-link inclusion & better practices J Zhu, Y Zhou, VN Ioannidis, S Qian, W Ai, X Song, D Koutra Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 4 | 2024 |
| SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks J Zhu, Y Zhou, VN Ioannidis, S Qian, W Ai, X Song, D Koutra arXiv preprint arXiv:2306.00899, 2023 | 1 | 2023 |
| Multimodal Graph Benchmark J Zhu, Y Zhou, S Qian, Z He, T Zhao, N Shah, D Koutra arXiv preprint arXiv:2406.16321, 2024 | | 2024 |
| Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation Y Zhou, J Zhu, P Xu, X Liu, X Wang, D Koutra, W Ai, F Huang arXiv preprint arXiv:2406.13114, 2024 | | 2024 |
| LinkGPT: Teaching Large Language Models To Predict Missing Links Z He, J Zhu, S Qian, J Chai, D Koutra arXiv preprint arXiv:2406.04640, 2024 | | 2024 |
Danai KoutraUniversity of Michigan, Ann Arbor在 umich.edu 的电子邮件经过验证
