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 | 52* | 2022 |
Toward understanding and evaluating structural node embeddings J Jin, M Heimann, D Jin, D Koutra ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-32, 2021 | 30 | 2021 |
Understanding and Evaluating Structural Node Embeddings J Jin, M Heimann, D Jin, D Koutra KDD MLG Workshop, 2020 | 5 | 2020 |
A Novel Method for Wind Turbine Alignment Optimization P Xie, L Qi, J Jin, J Lee PHM Asia Pacific 2019, 271-276, 2019 | | 2019 |