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Zhichun Guo
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2020 – today
- 2024
- [i23]Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V. Chawla:
Universal Link Predictor By In-Context Learning on Graphs. CoRR abs/2402.07738 (2024) - [i22]Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla:
Node Duplication Improves Cold-start Link Prediction. CoRR abs/2402.09711 (2024) - [i21]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 abs/2403.18280 (2024) - [i20]Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao:
How Does Message Passing Improve Collaborative Filtering? CoRR abs/2404.08660 (2024) - [i19]Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla:
You do not have to train Graph Neural Networks at all on text-attributed graphs. CoRR abs/2404.11019 (2024) - [i18]Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla:
CORE: Data Augmentation for Link Prediction via Information Bottleneck. CoRR abs/2404.11032 (2024) - [i17]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 abs/2406.06777 (2024) - 2023
- [j2]Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang:
SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance. IEEE Trans. Vis. Comput. Graph. 29(8): 3569-3585 (2023) - [c16]Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla:
Boosting Graph Neural Networks via Adaptive Knowledge Distillation. AAAI 2023: 7793-7801 - [c15]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: 943-956 - [c14]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 - [c13]William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah:
Link Prediction with Non-Contrastive Learning. ICLR 2023 - [c12]Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao:
Linkless Link Prediction via Relational Distillation. ICML 2023: 12012-12033 - [c11]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: 6638-6646 - [c10]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 - [i16]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 abs/2305.18365 (2023) - [i15]Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla:
Pure Message Passing Can Estimate Common Neighbor for Link Prediction. CoRR abs/2309.00976 (2023) - 2022
- [c9]Yihong Ma, Patrick Gérard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla:
Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. CIKM 2022: 1481-1490 - [c8]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: 3466-3472 - [c7]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: 3473-3479 - [c6]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction With Effective Decoders. LoG 2022: 14 - [c5]Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla:
FakeEdge: Alleviate Dataset Shift in Link Prediction. LoG 2022: 56 - [i14]Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang:
SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance. CoRR abs/2203.12671 (2022) - [i13]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 abs/2204.03508 (2022) - [i12]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 abs/2205.12396 (2022) - [i11]Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla:
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. CoRR abs/2205.14005 (2022) - [i10]Zhichun Guo, Bozhao Nan, Yijun Tian, Olaf Wiest, Chuxu Zhang, Nitesh V. Chawla:
Graph-based Molecular Representation Learning. CoRR abs/2207.04869 (2022) - [i9]Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla:
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. CoRR abs/2208.10010 (2022) - [i8]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction with Effective Decoders. CoRR abs/2209.10100 (2022) - [i7]Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao:
Linkless Link Prediction via Relational Distillation. CoRR abs/2210.05801 (2022) - [i6]Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla:
Boosting Graph Neural Networks via Adaptive Knowledge Distillation. CoRR abs/2210.05920 (2022) - [i5]William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah:
Link Prediction with Non-Contrastive Learning. CoRR abs/2211.14394 (2022) - [i4]Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla:
FakeEdge: Alleviate Dataset Shift in Link Prediction. CoRR abs/2211.15899 (2022) - 2021
- [c4]Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang:
Action Sequence Augmentation for Early Graph-based Anomaly Detection. CIKM 2021: 2668-2678 - [c3]Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang:
Sentence-Permuted Paragraph Generation. EMNLP (1) 2021: 5051-5062 - [c2]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: 2559-2567 - [i3]Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla:
Few-Shot Graph Learning for Molecular Property Prediction. CoRR abs/2102.07916 (2021) - [i2]Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang:
Sentence-Permuted Paragraph Generation. CoRR abs/2104.07228 (2021) - 2020
- [c1]Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla:
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. CIKM 2020: 435-443 - [i1]Bo Ni, Zhichun Guo, Jianing Li, Meng Jiang:
Improving Generalizability of Fake News Detection Methods using Propensity Score Matching. CoRR abs/2002.00838 (2020)
2010 – 2019
- 2019
- [j1]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): 2825-2852 (2019)
Coauthor Index
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