Jianxiang Yu

28 papers A* 3A 1Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
APEX: Academic Poster Editing Agentic Expert.
CoRR
Chengxin Shi, Qinnan Cai, Zeyuan Chen, Long Zeng, Yibo Zhao, Jing Yu, Jianxiang Yu, Xiang Li
2025 J jnl
Breaking the Cloak! Unveiling Chinese Cloaked Toxicity with Homophone Graph and Toxic Lexicon.
CoRR
Xuchen Ma, Jianxiang Yu, Wenming Shao, Bo Pang, Xiang Li
2025 A* conf
Can Large Language Models Act as Ensembler for Multi-GNNs?
EMNLP
Hanqi Duan, Yao Cheng, Jianxiang Yu, Yao Liu, Xiang Li
2025 A* conf
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection.
WWW
Long Zeng, Jianxiang Yu, Jiapeng Zhu, Qingsong Zhong, Xiang Li
2025 J jnl
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection.
CoRR
Long Zeng, Jianxiang Yu, Jiapeng Zhu, Qingsong Zhong, Xiang Li
2025 A* conf
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs.
AAAI
Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang
2025 — conf
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning.
KDD (1)
Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi Tan, Xiang Li, Weining Qian
2025 J jnl
Relation-Aware Graph Foundation Model.
CoRR
Jianxiang Yu, Jiapeng Zhu, Hao Qian, Ziqi Liu, Zhiqiang Zhang, Xiang Li
2025 — conf
SEAGraph: Unveiling the Whole Story of Paper Review Comments.
IJCNLP-AACL (long papers)
Jianxiang Yu, Jiaqi Tan, Zichen Ding, Jiapeng Zhu, Jiahao Li, Yao Cheng, Qier Cui, Yunshi Lan, Yao Liu, Xiang Li
2025 — conf
Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes.
KDD (1)
Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang
2024 — conf
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.
EMNLP (Findings)
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
2024 J jnl
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.
CoRR
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
2024 J jnl
Boosting Graph Foundation Model from Structural Perspective.
CoRR
Yao Cheng, Yige Zhao, Jianxiang Yu, Xiang Li
2024 J jnl
Can Large Language Models Act as Ensembler for Multi-GNNs?
CoRR
Hanqi Duan, Yao Cheng, Jianxiang Yu, Xiang Li
2024 J jnl
Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples.
IEEE Trans. Knowl. Data Eng.
Jianxiang Yu, Qingqing Ge, Xiang Li, Aoying Zhou
2024 J jnl
Improving Graph Out-of-distribution Generalization on Real-world Data.
CoRR
Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang, Jingsong Lv, Xiang Li
2024 J jnl
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning.
CoRR
Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi Tan, Xiang Li, Weining Qian
2024 J jnl
SEAGraph: Unveiling the Whole Story of Paper Review Comments.
CoRR
Jianxiang Yu, Jiaqi Tan, Zichen Ding, Jiapeng Zhu, Jiahao Li, Yao Cheng, Qier Cui, Yunshi Lan, Xiang Li
2024 — conf
Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks.
ECML/PKDD (2)
Chenghua Gong, Xiang Li, Jianxiang Yu, Yao Cheng, Jiaqi Tan, Chengcheng Yu
2024 J jnl
Towards Learning from Graphs with Heterophily: Progress and Future.
CoRR
Chenghua Gong, Yao Cheng, Jianxiang Yu, Can Xu, Caihua Shan, Siqiang Luo, Xiang Li
2023 — conf
Context-Aware Session-Based Recommendation with Graph Neural Networks.
ICKG
Zhihui Zhang, Jianxiang Yu, Xiang Li
2023 J jnl
Context-aware Session-based Recommendation with Graph Neural Networks.
CoRR
Zhihui Zhang, Jianxiang Yu, Xiang Li
2023 J jnl
Empower Text-Attributed Graphs Learning with Large Language Models (LLMs).
CoRR
Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang
2023 A conf
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples.
SDM
Jianxiang Yu, Xiang Li
2023 J jnl
Prompt Tuning for Multi-View Graph Contrastive Learning.
CoRR
Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu, Dawei Yin
2023 J jnl
Resist Label Noise with PGM for Graph Neural Networks.
CoRR
Qingqing Ge, Jianxiang Yu, Zeyuan Zhao, Xiang Li
2023 J jnl
Self-supervised Heterogeneous Graph Variational Autoencoders.
CoRR
Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang
2022 J jnl
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples.
CoRR
Jianxiang Yu, Xiang Li