| Graph-based Molecular Representation Learning Z Guo, K Guo, B Nan, Y Tian, RG Iyer, Y Ma, O Wiest, X Zhang, W Wang, ... IJCAI'23, 2023 | 53 | 2023 |
| Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks Y Tian, C Zhang, Z Guo, Y Ma, R Metoyer, NV Chawla IJCAI'22, 2022 | 18 | 2022 |
| Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting Y Ma, P Gerard, Y Tian, Z Guo, NV Chawla CIKM'22, 2022 | 17 | 2022 |
| Class-imbalanced learning on graphs: A survey Y Ma, Y Tian, N Moniz, NV Chawla arXiv preprint arXiv:2304.04300, 2023 | 15 | 2023 |
| Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence D Wang, Z Zhang, Y Ma, T Zhao, T Jiang, N Chawla, M Jiang IEEE Transactions on Knowledge and Data Engineering, 2021 | 15 | 2021 |
| RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers MN Al Islam, Y Ma, P Alarcon, N Chawla, J Cleland-Huang RE'22, 2022 | 14 | 2022 |
| Towards Real-Time Safety Analysis of Small Unmanned Aerial Systems in the National Airspace J Cleland-Huang, N Chawla, M Cohen, MN Al Islam, U Sinha, ... AIAA AVIATION 2022 Forum, 2022 | 9 | 2022 |
| Learning Attribute-Structure Co-Evolutions in Dynamic Graphs D Wang, Z Zhang, Y Ma, T Zhao, T Jiang, NV Chawla, M Jiang DLG-KDD'20 (best paper award), 2020 | 9 | 2020 |
| Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows Y Ma, MN Al Islam, J Cleland-Huang, NV Chawla IEEE Intelligent Systems, 2023 | 8 | 2023 |
| Hetgpt: Harnessing the power of prompt tuning in pre-trained heterogeneous graph neural networks Y Ma, N Yan, J Li, M Mortazavi, NV Chawla WWW'24, 2024 | 6 | 2024 |
| Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective Y Ma, X Huang, B Nan, N Moniz, X Zhang, O Wiest, NV Chawla WWW'24, 2024 | 1 | 2024 |
| A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography Y Ma, Q Zeng, T Jiang, L Cai, M Jiang EYRE-CIKM'19, 2019 | 1 | 2019 |
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre Dame在 nd.edu 的电子邮件经过验证
