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Siwen Yan
Siwen Yan
Verified email at utdallas.edu
Title
Cited by
Cited by
Year
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
272023
Non-parametric learning of Gaifman models
DS Dhami, S Yan, G Kunapuli, S Natarajan
arXiv preprint arXiv:2001.00528, 2020
52020
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
52019
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
42021
Explainable Models via Compression of Tree Ensembles
S Yan, S Natarajan, S Joshi, R Khardon, P Tadepalli
arXiv preprint arXiv:2206.07904, 2022
32022
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
32021
Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN
DS Dhami, S Yan, S Natarajan
arXiv preprint arXiv:2102.07007, 2021
22021
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
12024
(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
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