Zhichun Guo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 41

Top Topics

Attributed Graphs

Link Prediction

Message Passing

Top Venues

Publications

Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V. Chawla
Universal Link Predictor By In-Context Learning on Graphs. CoRR (2024)
Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla
You do not have to train Graph Neural Networks at all on text-attributed graphs. CoRR (2024)
Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla
CORE: Data Augmentation for Link Prediction via Information Bottleneck. CoRR (2024)
William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu
Improving Out-of-Vocabulary Handling in Recommendation Systems. CoRR (2024)
Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni G. Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Nitesh V. Chawla
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension. CoRR (2024)
Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
How Does Message Passing Improve Collaborative Filtering? CoRR (2024)
Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla
Node Duplication Improves Cold-start Link Prediction. CoRR (2024)
Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla
Graph-based Molecular Representation Learning. IJCAI (2023)
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. EACL (2023)
Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang
: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance. IEEE Trans. Vis. Comput. Graph. 29 (8) (2023)
Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
Boosting Graph Neural Networks via Adaptive Knowledge Distillation. AAAI (2023)
William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
Link Prediction with Non-Contrastive Learning. ICLR (2023)
Taicheng Guo, Kehan Guo, Bozhao Nan, Zhengwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks. CoRR (2023)
Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks. NeurIPS (2023)
Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla
Pure Message Passing Can Estimate Common Neighbor for Link Prediction. CoRR (2023)
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
Linkless Link Prediction via Relational Distillation. ICML (2023)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency. ICLR (2023)
Yihong Ma, Patrick Gérard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla
Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. CIKM (2022)
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
Flashlight: Scalable Link Prediction With Effective Decoders. LoG (2022)
Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla
FakeEdge: Alleviate Dataset Shift in Link Prediction. LoG (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. CoRR (2022)
Zhichun Guo, Bozhao Nan, Yijun Tian, Olaf Wiest, Chuxu Zhang, Nitesh V. Chawla
Graph-based Molecular Representation Learning. CoRR (2022)
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
Linkless Link Prediction via Relational Distillation. CoRR (2022)
Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
Boosting Graph Neural Networks via Adaptive Knowledge Distillation. CoRR (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. CoRR (2022)
Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla
FakeEdge: Alleviate Dataset Shift in Link Prediction. CoRR (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. IJCAI (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. IJCAI (2022)
Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang
SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance. CoRR (2022)
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
Flashlight: Scalable Link Prediction with Effective Decoders. CoRR (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. CoRR (2022)
William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
Link Prediction with Non-Contrastive Learning. CoRR (2022)
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. CoRR (2022)
Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang
Action Sequence Augmentation for Early Graph-based Anomaly Detection. CIKM (2021)
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
Few-Shot Graph Learning for Molecular Property Prediction. WWW (2021)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
Sentence-Permuted Paragraph Generation. EMNLP (1) (2021)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
Sentence-Permuted Paragraph Generation. CoRR (2021)
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
Few-Shot Graph Learning for Molecular Property Prediction. CoRR (2021)
Bo Ni, Zhichun Guo, Jianing Li, Meng Jiang
Improving Generalizability of Fake News Detection Methods using Propensity Score Matching. CoRR (2020)
Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. CIKM (2020)
Qingyuan Gong, Yang Chen, Xiaolong Yu, Chao Xu, Zhichun Guo, Yu Xiao, Fehmi Ben Abdesslem, Xin Wang, Pan Hui
Exploring the power of social hub services. World Wide Web 22 (6) (2019)