Siwen Yan

Orcid: 0000-0003-1706-2921

According to our database¹, Siwen Yan authored at least 10 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., April, 2024

Explainable models via compression of tree ensembles.

[BibT_eX]

[DOI]

Mach. Learn., 2024

Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning with privileged and sensitive information: a gradient-boosting approach.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., February, 2023

Knowledge-based Refinement of Scientific Publication Knowledge Graphs.

[BibT_eX]

[DOI]

Siwen Yan

Phillip Odom

Sriraam Natarajan

CoRR, 2023

2021

Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN.

[BibT_eX]

[DOI]

Devendra Singh Dhami

Siwen Yan

Sriraam Natarajan

CoRR, 2021

Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem.

[BibT_eX]

[DOI]

Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Non-Parametric Learning of Gaifman Models.

[BibT_eX]

[DOI]

CoRR, 2020

The Curious Case of Stacking Boosted Relational Dependency Networks.

[BibT_eX]

[DOI]

Siwen Yan

Devendra Singh Dhami

Sriraam Natarajan

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

Siwen Yan

Timeline

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Links

On csauthors.net:

Bibliography

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