Siwen Yan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Relational Dependency Networks

Influence Maximization

Top Venues

IEEE Trans. Comput. Soc. Syst.

Publications

Tiantian Chen, Siwen Yan, Jianxiong Guo, Weili Wu
ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan
Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals. AAAI (2024)
Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli
Explainable models via compression of tree ensembles. Mach. Learn. 113 (3) (2024)
Siwen Yan, Phillip Odom, Sriraam Natarajan
Knowledge-based Refinement of Scientific Publication Knowledge Graphs. CoRR (2023)
Siwen Yan, Phillip Odom, Rahul Pasunuri, Kristian Kersting, Sriraam Natarajan
Learning with privileged and sensitive information: a gradient-boosting approach. Frontiers Artif. Intell. 6 (2023)
Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan
Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals. CoRR (2023)
Tiantian Chen, Siwen Yan, Jianxiong Guo, Weili Wu
ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning. CoRR (2022)
Siwen Yan, Sriraam Natarajan, Saket Joshi, Roni Khardon, Prasad Tadepalli
Explainable Models via Compression of Tree Ensembles. CoRR (2022)
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach. AIME (2021)
Devendra Singh Dhami, Siwen Yan, Sriraam Natarajan
Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN. CoRR (2021)
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach. CoRR (2021)
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan
Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem. ILP (2021)
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan
Non-Parametric Learning of Gaifman Models. CoRR (2020)
Siwen Yan, Devendra Singh Dhami, Sriraam Natarajan
The Curious Case of Stacking Boosted Relational Dependency Networks. ICBINB@NeurIPS (2020)