Xingtong Yu

Orcid: 0000-0002-2884-8578

According to our database¹, Xingtong Yu authored at least 23 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2025

Learnable Game-theoretic Policy Optimization for Data-centric Self-explanation Rationalization.

[BibT_eX]

[DOI]

CoRR, October, 2025

Event-Aware Prompt Learning for Dynamic Graphs.

[BibT_eX]

[DOI]

CoRR, October, 2025

MolGA: Molecular Graph Adaptation with Pre-trained 2D Graph Encoder.

[BibT_eX]

[DOI]

CoRR, October, 2025

StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, October, 2025

GCoT: Chain-of-Thought Prompt Learning for Graphs.

[BibT_eX]

[DOI]

CoRR, February, 2025

SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation.

[BibT_eX]

[DOI]

CoRR, February, 2025

MDPM: Modulating domain-specific prompt memory for multi-domain traffic flow prediction with transformers.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond.

[BibT_eX]

[DOI]

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

Non-Homophilic Graph Pre-Training and Prompt Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

GCoT: Chain-of-Thought Prompt Learning for Graphs.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Node-Time Conditional Prompt Learning in Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

DyGPrompt: Learning Feature and Time Prompts on Dynamic Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting.

[BibT_eX]

[DOI]

CoRR, 2024

MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning.

[BibT_eX]

[DOI]

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

2023

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning to Count Isomorphisms with Graph Neural Networks.

[BibT_eX]

[DOI]

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

Xingtong Yu

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...