Ju, Mingxuan

11 publications

NeurIPS 2025 A Pre-Training Framework for Relational Data with Information-Theoretic Principles Quang Truong, Zhikai Chen, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
ICML 2025 Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Zhitao Ying, Neil Shah, Tong Zhao
TMLR 2025 Node Duplication Improves Cold-Start Link Prediction Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Mingxuan Ju, Neil Shah, Nitesh V Chawla
ICML 2024 From Coarse to Fine: Enable Comprehensive Graph Self-Supervised Learning with Multi-Granular Semantic Ensemble Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye
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
ICLR 2023 Generate Rather than Retrieve: Large Language Models Are Strong Context Generators Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
NeurIPS 2023 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-Time Augmentation Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
AAAI 2023 Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
ICLR 2023 Multi-Task Self-Supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
AAAI 2022 Adaptive Kernel Graph Neural Network Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao
AAAI 2021 Disentangled Representation Learning in Heterogeneous Information Network for Large-Scale Android Malware Detection in the COVID-19 Era and Beyond Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong, Fudong Shao