Guo, Zhichun

18 publications

IJCAI 2025 Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Payel Das, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

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

TMLR 2025 Universal Link Predictor by In-Context Learning on Graphs Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V Chawla

NeurIPS 2025 You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network Yi Li, Zhichun Guo, Guanpeng Li, Bingzhe Li

NeurIPS 2024 Can LLMs Solve Molecule Puzzles? a Multimodal Benchmark for Molecular Structure Elucidation Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

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

NeurIPS 2024 Pure Message Passing Can Estimate Common Neighbor for Link Prediction Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla

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 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

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

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

NeurIPS 2023 What Can Large Language Models Do in Chemistry? a Comprehensive Benchmark on Eight Tasks Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh Chawla, Olaf Wiest, Xiangliang Zhang

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

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

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