Jianxiang Yu

Orcid: 0009-0006-9900-9815

Affiliations:

East China Normal University, School of Data Science and Engineering, Shanghai, China

According to our database¹, Jianxiang Yu authored at least 20 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Breaking the Cloak! Unveiling Chinese Cloaked Toxicity with Homophone Graph and Toxic Lexicon.

[BibT_eX]

[DOI]

CoRR, May, 2025

Relation-Aware Graph Foundation Model.

[BibT_eX]

[DOI]

CoRR, May, 2025

Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes.

[BibT_eX]

[DOI]

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

RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning.

[BibT_eX]

[DOI]

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

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples.

[BibT_eX]

[DOI]

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

SEAGraph: Unveiling the Whole Story of Paper Review Comments.

[BibT_eX]

[DOI]

CoRR, 2024

Can Large Language Models Act as Ensembler for Multi-GNNs?

[BibT_eX]

[DOI]

CoRR, 2024

Boosting Graph Foundation Model from Structural Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Graph Out-of-distribution Generalization on Real-world Data.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Learning from Graphs with Heterophily: Progress and Future.

[BibT_eX]

[DOI]

CoRR, 2024

Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Self-supervised Heterogeneous Graph Variational Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2023

Resist Label Noise with PGM for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Prompt Tuning for Multi-View Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs).

[BibT_eX]

[DOI]

CoRR, 2023

Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples.

[BibT_eX]

[DOI]

Jianxiang Yu

Xiang Li

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Context-Aware Session-Based Recommendation with Graph Neural Networks.

[BibT_eX]

[DOI]

Zhihui Zhang

Jianxiang Yu

Xiang Li

Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Jianxiang Yu

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