Liu, Yozen

11 publications

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

NeurIPS 2024 How Does Message Passing Improve Collaborative Filtering? Clark Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao

ICLR 2023 Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah

ICLR 2023 Link Prediction with Non-Contrastive Learning William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah

ICML 2023 Linkless Link Prediction via Relational Distillation Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V Chawla, Neil Shah, Tong Zhao

ICLR 2023 MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah

LoG 2022 Flashlight: Scalable Link Prediction with Effective Decoders Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah

NeurIPS 2022 GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun

ICLR 2022 Graph Condensation for Graph Neural Networks Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah

ICLR 2022 Graph-Less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah

AAAI 2021 Data Augmentation for Graph Neural Networks Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah