Haoyu Han

Orcid: 0000-0002-2529-6042

Affiliations:

Michigan State University, Department of Computer Science and Engineering, East Lansing, MI, USA

According to our database¹, Haoyu Han authored at least 24 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Bibliography

2025

Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

CoRR, April, 2025

Empowering GraphRAG with Knowledge Filtering and Integration.

[BibT_eX]

[DOI]

CoRR, March, 2025

Unveiling Mode Connectivity in Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, February, 2025

RAG vs. GraphRAG: A Systematic Evaluation and Key Insights.

[BibT_eX]

[DOI]

CoRR, February, 2025

Retrieval-Augmented Generation with Graphs (GraphRAG).

[BibT_eX]

[DOI]

Mahantesh Halappanavar

CoRR, January, 2025

Large Language Model for E-Commerce Workshop.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases.

[BibT_eX]

[DOI]

Mahantesh M. Halappanavar

Jiliang Tang

Yu Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Mixture of Link Predictors.

[BibT_eX]

[DOI]

CoRR, 2024

Mixture of Link Predictors on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Structural Fairness-aware Active Learning for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Label-free Node Classification on Graphs with Large Language Models (LLMs).

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Spectral-Aware Augmentation for Enhanced Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation.

[BibT_eX]

[DOI]

CoRR, 2023

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Label Position Bias in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large-Scale Graph Neural Networks: The Past and New Frontiers.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Enhancing Graph Representations Learning with Decorrelated Propagation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Alternately Optimized Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Alternately Optimized Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Haoyu Han

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