Jianxiang Yu

According to our database, Jianxiang Yu authored at least 13 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Jianxiang Yu, Qingqing Ge, Xiang Li, Aoying Zhou

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

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

Hanqi Duan, Yao Cheng, Jianxiang Yu, Xiang Li

CoRR, 2024

RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning.

Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi Tan, Xiang Li, Weining Qian

CoRR, 2024

Boosting Graph Foundation Model from Structural Perspective.

Yao Cheng, Yige Zhao, Jianxiang Yu, Xiang Li

CoRR, 2024

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

Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang, Jingsong Lv, Xiang Li

CoRR, 2024

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

Chenghua Gong, Xiang Li, Jianxiang Yu, Yao Cheng, Jiaqi Tan, Chengcheng Yu

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

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

Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li

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

2023

Self-supervised Heterogeneous Graph Variational Autoencoders.

Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang

CoRR, 2023

Resist Label Noise with PGM for Graph Neural Networks.

Qingqing Ge, Jianxiang Yu, Zeyuan Zhao, Xiang Li

CoRR, 2023

Prompt Tuning for Multi-View Graph Contrastive Learning.

Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu, Dawei Yin

CoRR, 2023

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

Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang

CoRR, 2023

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

Jianxiang Yu, Xiang Li

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

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

Zhihui Zhang, Jianxiang Yu, Xiang Li

Proceedings of the IEEE International Conference on Knowledge Graph, 2023