Tian, Yijun

19 publications

NeurIPS 2024 G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi

AAAI 2024 Graph Neural Prompting with Large Language Models Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu

ICML 2024 Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-Aware Hierarchical Prompt Learning Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V Chawla, Stan Z. Li

ICLR 2024 MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V Chawla, Stan Z. Li

ICLR 2024 Mitigating Emergent Robustness Degradation While Scaling Graph Learning Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang

ICML 2024 S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V Chawla, Mang Ye

AAAI 2023 Boosting Graph Neural Networks via Adaptive Knowledge Distillation Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla

IJCAI 2023 Character as Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models Ziyi Kou, Shichao Pei, Yijun Tian, Xiangliang Zhang

ICLR 2023 Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh Chawla, Chuxu Zhang

IJCAI 2023 Graph-Based Molecular Representation Learning Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla

AAAI 2023 Heterogeneous Graph Masked Autoencoders Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla

ICLR 2023 Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh Chawla

ICMLW 2023 Navigating Graph Robust Learning Against All-Intensity Attacks Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Chuxu Zhang

ICML 2023 When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

NeurIPSW 2022 Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

LoG 2022 FakeEdge: Alleviate Dataset Shift in Link Prediction Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh Chawla

NeurIPSW 2022 NOSMOG: Learning Noise-Robust and Structure-Aware MLPs on Graphs Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh Chawla

IJCAI 2022 Recipe2Vec: Multi-Modal Recipe Representation Learning with Graph Neural Networks Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla

IJCAI 2022 RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla