| ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning T Chen, S Yan, J Guo, W Wu IEEE Transactions on Computational Social Systems, 2023 | 19 | 2023 |
| Non-parametric learning of Gaifman models DS Dhami, S Yan, G Kunapuli, S Natarajan arXiv preprint arXiv:2001.00528, 2020 | 5 | 2020 |
| Beyond Textual Data: Predicting Drug-Drug Interactions from Molecular Structure Images using Siamese Neural Networks DS Dhami, S Yan, G Kunapuli, D Page, S Natarajan arXiv preprint arXiv:1911.06356, 2019 | 5 | 2019 |
| Predicting drug-drug interactions from heterogeneous data: An embedding approach DS Dhami, S Yan, G Kunapuli, D Page, S Natarajan Artificial Intelligence in Medicine: 19th International Conference on …, 2021 | 4 | 2021 |
| Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem DS Dhami, S Yan, G Kunapuli, S Natarajan International Conference on Inductive Logic Programming, 95-110, 2021 | 3 | 2021 |
| Explainable Models via Compression of Tree Ensembles S Yan, S Natarajan, S Joshi, R Khardon, P Tadepalli arXiv preprint arXiv:2206.07904, 2022 | 2 | 2022 |
| Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN DS Dhami, S Yan, S Natarajan arXiv preprint arXiv:2102.07007, 2021 | 2 | 2021 |
| Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals SL Valluru, B Srivastava, ST Paladi, S Yan, S Natarajan Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 22833 …, 2024 | 1 | 2024 |
| (Deployed Application) Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals SL Valluru, B Srivastava, ST Paladi, S Yan, S Natarajan arXiv preprint arXiv:2309.09404, 2023 | | 2023 |
| Knowledge-based Refinement of Scientific Publication Knowledge Graphs S Yan, P Odom, S Natarajan arXiv preprint arXiv:2309.05681, 2023 | | 2023 |
| Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals S Likitha Valluru, B Srivastava, S Teja Paladi, S Yan, S Natarajan arXiv e-prints, arXiv: 2309.09404, 2023 | | 2023 |
| Learning with Privileged and Sensitive Information: A Gradient-Boosting Approach S Yan, P Odom, R Pasunuri, K Kersting, S Natarajan Frontiers in Artificial Intelligence 6, 1260583, 2023 | | 2023 |
| A Statistical Relational Approach to Learning Distance-based GCNs DS Dhami, S Yan, S Natarajan arXiv preprint arXiv:2102.07007, 2021 | | 2021 |
| The Curious Case of Stacking Boosted Relational Dependency Networks S Yan, DS Dhami, S Natarajan PMLR, 2020 | | 2020 |
