Ge Chen

Orcid: 0009-0002-7502-8852

Affiliations:

University of Chinese Academy of Sciences, Kuaishou Technology, Beijing, China

According to our database¹, Ge Chen authored at least 10 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Diffusion Model with Selective Attention for Temporal Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Rushan Geng

Ge Chen

Cuicui Luo

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Improving Graph Autoencoders by Hard Sample Refinement with Global Similarity.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

GUNDAM: Aligning Large Language Models with Graph Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Comprehensive Preference Data Collection for Reward Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Task Unification in Graph Representation Learning via Generative Approach.

[BibT_eX]

[DOI]

CoRR, 2024

IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Advancing Latent Representation Ranking for Masked Graph Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Do We Really Need Contrastive Learning for Graph Representation?

[BibT_eX]

[DOI]

CoRR, 2023

Ge Chen

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