Non-parametric learning of Gaifman models DS Dhami, S Yan, G Kunapuli, S Natarajan arXiv preprint arXiv:2001.00528, 2020 | 4 | 2020 |
ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning T Chen, S Yan, J Guo, W Wu arXiv preprint arXiv:2210.07500, 2022 | 2 | 2022 |
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 | 2 | 2019 |
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach DS Dhami, S Yan, G Kunapuli, D Page, S Natarajan International Conference on Artificial Intelligence in Medicine, 252-257, 2021 | 1 | 2021 |
Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN DS Dhami, S Yan, S Natarajan arXiv preprint arXiv:2102.07007, 2021 | 1 | 2021 |
Explainable Models via Compression of Tree Ensembles S Yan, S Natarajan, S Joshi, R Khardon, P Tadepalli arXiv preprint arXiv:2206.07904, 2022 | | 2022 |
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 | | 2021 |
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach D Singh Dhami, S Yan, G Kunapuli, D Page, S Natarajan arXiv e-prints, arXiv: 2103.10916, 2021 | | 2021 |
A Statistical Relational Approach to Learning Distance-based GCNs DS Dhami, S Yan, S Natarajan arXiv preprint arXiv:2102.07007, 2021 | | 2021 |
A Statistical Relational Approach to Learning Distance-based GCNs D Singh Dhami, S Yan, S Natarajan arXiv e-prints, arXiv: 2102.07007, 2021 | | 2021 |
The Curious Case of Stacking Boosted Relational Dependency Networks S Yan, DS Dhami, S Natarajan PMLR, 2020 | | 2020 |
Non-Parametric Learning of Gaifman Models D Singh Dhami, S Yan, G Kunapuli, S Natarajan arXiv e-prints, arXiv: 2001.00528, 2020 | | 2020 |
Beyond Textual Data: Predicting Drug-Drug Interactions from Molecular Structure Images using Siamese Neural Networks D Singh Dhami, S Yan, G Kunapuli, D Page, S Natarajan arXiv e-prints, arXiv: 1911.06356, 2019 | | 2019 |