Zhichun Guo

According to our database, Zhichun Guo authored at least 38 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery.

Xiaobao Huang, Yihong Ma, Anjali Gurajapu, Jules Schleinitz, Zhichun Guo, Sarah E. Reisman, Nitesh V. Chawla

CoRR, June, 2025

Improving Protein Sequence Design through Designability Preference Optimization.

Fanglei Xue, Andrew Kubaney, Zhichun Guo, Joseph K. Min, Ge Liu, Yi Yang, David Baker

CoRR, June, 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, Prayel Das, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

CoRR, February, 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

Trans. Mach. Learn. Res., 2025

Universal Link Predictor By In-Context Learning on Graphs.

Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V. Chawla

Trans. Mach. Learn. Res., 2025

Improving Out-of-Vocabulary Hashing in Recommendation Systems.

William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training.

Yi Li, Zhichun Guo, Guanpeng Li, Bingzhe Li

CoRR, 2024

MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension.

Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni G. Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Nitesh V. Chawla

CoRR, 2024

CORE: Data Augmentation for Link Prediction via Information Bottleneck.

Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla

CoRR, 2024

You do not have to train Graph Neural Networks at all on text-attributed graphs.

Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla

CoRR, 2024

Improving Out-of-Vocabulary Handling in Recommendation Systems.

William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu

CoRR, 2024

Node Duplication Improves Cold-start Link Prediction.

Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla

CoRR, 2024

How Does Message Passing Improve Collaborative Filtering?

Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Pure Message Passing Can Estimate Common Neighbor for Link Prediction.

Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

SD²: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance.

Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang

IEEE Trans. Vis. Comput. Graph., August, 2023

What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks.

Taicheng Guo, Kehan Guo, Bozhao Nan, Zhengwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

CoRR, 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 V. Chawla, Olaf Wiest, Xiangliang Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Linkless Link Prediction via Relational Distillation.

Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao

Proceedings of the International Conference on Machine Learning, 2023

Link Prediction with Non-Contrastive Learning.

William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency.

Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods.

Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Boosting Graph Neural Networks via Adaptive Knowledge Distillation.

Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs.

Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla

CoRR, 2022

Graph-based Molecular Representation Learning.

Zhichun Guo, Bozhao Nan, Yijun Tian, Olaf Wiest, Chuxu Zhang, Nitesh V. Chawla

CoRR, 2022

SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance.

Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang

CoRR, 2022

Flashlight: Scalable Link Prediction With Effective Decoders.

Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah

Proceedings of the Learning on Graphs Conference, 2022

FakeEdge: Alleviate Dataset Shift in Link Prediction.

Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla

Proceedings of the Learning on Graphs Conference, 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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation.

Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting.

Yihong Ma, Patrick Gérard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Few-Shot Graph Learning for Molecular Property Prediction.

Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla

Proceedings of the WWW '21: The Web Conference 2021, 2021

Sentence-Permuted Paragraph Generation.

Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Action Sequence Augmentation for Early Graph-based Anomaly Detection.

Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Improving Generalizability of Fake News Detection Methods using Propensity Score Matching.

Bo Ni, Zhichun Guo, Jianing Li, Meng Jiang

CoRR, 2020

GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction.

Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Exploring the power of social hub services.

Qingyuan Gong, Yang Chen, Xiaolong Yu, Chao Xu, Zhichun Guo, Yu Xiao, Fehmi Ben Abdesslem, Xin Wang, Pan Hui

World Wide Web, 2019