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Jianxiang Yu 0001
Person information
- affiliation: East China Normal University, School of Data Science and Engineering, Shanghai, China
Other persons with the same name
- Jianxiang Yu 0002 — Dalian Maritime University, Marine Engineering College, China
- Jianxiang Yu 0003
— Chongqing College of Electronic Engineering, Business School, China
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2020 – today
- 2024
- [j1]Jianxiang Yu
Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples. IEEE Trans. Knowl. Data Eng. 36(10): 5181-5193 (2024) - [c4]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:
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. EMNLP (Findings) 2024: 10164-10184 - [c3]Chenghua Gong, Xiang Li, Jianxiang Yu, Yao Cheng, Jiaqi Tan, Chengcheng Yu:
Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks. ECML/PKDD (2) 2024: 197-215 - [i10]Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang, Jingsong Lv, Xiang Li:
Improving Graph Out-of-distribution Generalization on Real-world Data. CoRR abs/2407.10204 (2024) - [i9]Jianxiang Yu, Zichen Ding
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. CoRR abs/2407.12857 (2024) - [i8]Yao Cheng, Yige Zhao, Jianxiang Yu, Xiang Li:
Boosting Graph Foundation Model from Structural Perspective. CoRR abs/2407.19941 (2024) - [i7]Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi Tan, Xiang Li, Weining Qian:
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning. CoRR abs/2408.03195 (2024) - 2023
- [c2]Zhihui Zhang, Jianxiang Yu, Xiang Li:
Context-Aware Session-Based Recommendation with Graph Neural Networks. ICKG 2023: 35-44 - [c1]Jianxiang Yu, Xiang Li:
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples. SDM 2023: 37-45 - [i6]Zhihui Zhang, Jianxiang Yu, Xiang Li:
Context-aware Session-based Recommendation with Graph Neural Networks. CoRR abs/2310.09593 (2023) - [i5]Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang:
Empower Text-Attributed Graphs Learning with Large Language Models (LLMs). CoRR abs/2310.09872 (2023) - [i4]Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu, Dawei Yin:
Prompt Tuning for Multi-View Graph Contrastive Learning. CoRR abs/2310.10362 (2023) - [i3]Qingqing Ge, Jianxiang Yu, Zeyuan Zhao, Xiang Li:
Resist Label Noise with PGM for Graph Neural Networks. CoRR abs/2311.02116 (2023) - [i2]Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang:
Self-supervised Heterogeneous Graph Variational Autoencoders. CoRR abs/2311.07929 (2023) - 2022
- [i1]Jianxiang Yu, Xiang Li:
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples. CoRR abs/2212.13847 (2022)
Coauthor Index
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