| Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs J Zhu, Y Yan, L Zhao, M Heimann, L Akoglu, D Koutra Advances in Neural Information Processing Systems 33, 2020 | 780 | 2020 |
| Graph neural networks with heterophily J Zhu, RA Rossi, A Rao, T Mai, N Lipka, NK Ahmed, D Koutra Proceedings of the AAAI conference on artificial intelligence 35 (12), 11168 …, 2021 | 248 | 2021 |
| Groupinn: Grouping-based interpretable neural network for classification of limited, noisy brain data Y Yan, J Zhu, M Duda, E Solarz, C Sripada, D Koutra Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 90 | 2019 |
| How does heterophily impact the robustness of graph neural networks? theoretical connections and practical implications J Zhu, J Jin, D Loveland, MT Schaub, D Koutra Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 35* | 2022 |
| On graph neural network fairness in the presence of heterophilous neighborhoods D Loveland, J Zhu, M Heimann, B Fish, MT Schaub, D Koutra arXiv preprint arXiv:2207.04376, 2022 | 6 | 2022 |
| Heterophily and graph neural networks: Past, present and future J Zhu, Y Yan, M Heimann, L Zhao, L Akoglu, D Koutra IEEE Data Engineering Bulletin, 2023 | 3 | 2023 |
| Graph coarsening via convolution matching for scalable graph neural network training C Dickens, E Huang, A Reganti, J Zhu, K Subbian, D Koutra arXiv preprint arXiv:2312.15520, 2023 | 2 | 2023 |
| Simplifying distributed neural network training on massive graphs: Randomized partitions improve model aggregation J Zhu, A Reganti, E Huang, C Dickens, N Rao, K Subbian, D Koutra arXiv preprint arXiv:2305.09887, 2023 | 2 | 2023 |
| Graph neural networks for datasets with heterophily R Rossi, T Mai, N Lipka, J Zhu, A Rao, V Swaminathan US Patent App. 17/210,157, 2022 | 2 | 2022 |
| On performance discrepancies across local homophily levels in graph neural networks D Loveland, J Zhu, M Heimann, B Fish, MT Schaub, D Koutra Learning on Graphs Conference, 6: 1-6: 30, 2024 | 1 | 2024 |
| The 3rd Workshop on Graph Learning Benchmarks (GLB 2023) J Ma, J Zhu, Y Dong, D Koutra, J He, Q Mei, A Tsitsulin, X Zhang, M Zitnik Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
