We stand with Ukraine

We stand with Ukraine

Yu Wang

Orcid: 0000-0001-6908-508X

Affiliations:

Vanderbilt University, Department of Civil and Environmental Engineering, Department of Computer Science, Nashville, TN, USA

According to our database¹, Yu Wang authored at least 20 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on yuwvandy.github.io
on orcid.org

On csauthors.net:

Bibliography

2024

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness.

[BibT_eX]

[DOI]

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CoRR, 2024

Knowledge Graph Prompting for Multi-Document Question Answering.

[BibT_eX]

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

2023

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.

[BibT_eX]

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CoRR, 2023

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications.

[BibT_eX]

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Olivera Kotevska

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CoRR, 2023

Fairness and Diversity in Recommender Systems: A Survey.

[BibT_eX]

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Charu C. Aggarwal

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CoRR, 2023

Collaboration-Aware Graph Convolutional Network for Recommender Systems.

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Proceedings of the ACM Web Conference 2023, 2023

Fairness and Explainability: Bridging the Gap towards Fair Model Explanations.

[BibT_eX]

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery.

[BibT_eX]

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Bobby Bodenheimer

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Generating Synthetic Systems of Interdependent Critical Infrastructure Networks.

[BibT_eX]

[DOI]

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IEEE Syst. J., 2022

A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures.

[BibT_eX]

[DOI]

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CoRR, 2022

Collaboration-Aware Graph Convolutional Networks for Recommendation Systems.

[BibT_eX]

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CoRR, 2022

Fair Graph Representation Learning with Imbalanced and Biased Data.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.

[BibT_eX]

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Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ChemicalX: A Deep Learning Library for Drug Pair Scoring.

[BibT_eX]

[DOI]

Benedek Rozemberczki

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Charles Tapley Hoyt

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Piotr Grabowski

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Sebastian Nilsson

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Michaël Ughetto

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Benjamin M. Gyori

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On Structural Explanation of Bias in Graph Neural Networks.

[BibT_eX]

[DOI]

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Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Degree-Related Bias in Link Prediction.

[BibT_eX]

[DOI]

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Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Imbalanced Graph Classification via Graph-of-Graph Neural Networks.

[BibT_eX]

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification.

[BibT_eX]

[DOI]

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CoRR, 2021

Tree Decomposed Graph Neural Network.

[BibT_eX]

[DOI]

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

A Data-Integration Analysis on Road Emissions and Traffic Patterns.

[BibT_eX]

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Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

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