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ORCIDGuoji Fu
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2020 – today
- 2024
[c5]Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee:
Constrained Layout Generation with Factor Graphs. CVPR 2024: 12851-12860- [i12]Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee:
Constrained Layout Generation with Factor Graphs. CoRR abs/2404.00385 (2024) - 2023
- [i11]Yuanfeng Ji, Yatao Bian, Guoji Fu, Peilin Zhao, Ping Luo:
SyNDock: N Rigid Protein Docking via Learnable Group Synchronization. CoRR abs/2305.15156 (2023) - [i10]Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang
:
Fairness-aware Message Passing for Graph Neural Networks. CoRR abs/2306.11132 (2023) - [i9]Guoji Fu, Mohammed Haroon Dupty, Yanfei Dong, Lee Wee Sun:
Implicit Graph Neural Diffusion Based on Constrained Dirichlet Energy Minimization. CoRR abs/2308.03306 (2023) - 2022
- [c4]Yifan Hou, Guoji Fu, Mrinmaya Sachan:
What Has Been Enhanced in my Knowledge-Enhanced Language Model? EMNLP (Findings) 2022: 1417-1438 - [c3]Guoji Fu, Peilin Zhao, Yatao Bian:
p-Laplacian Based Graph Neural Networks. ICML 2022: 6878-6917 - [i8]Yifan Hou, Guoji Fu, Mrinmaya Sachan:
Understanding Knowledge Integration in Language Models with Graph Convolutions. CoRR abs/2202.00964 (2022) - [i7]Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang:
Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. CoRR abs/2202.07114 (2022) - [i6]Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao:
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR abs/2205.10014 (2022) - 2021
- [i5]Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang:
Robust Dynamic Network Embedding via Ensembles. CoRR abs/2105.14557 (2021) - [i4]Guoji Fu, Peilin Zhao, Yatao Bian:
p-Laplacian Based Graph Neural Networks. CoRR abs/2111.07337 (2021) - 2020
- [i3]Guoji Fu, Yifan Hou, Jie Zhang, Kaili Ma, Barakeel Fanseu Kamhoua, James Cheng:
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives. CoRR abs/2006.04386 (2020)
2010 – 2019
- 2019
- [c2]Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao:
Representation Learning for Heterogeneous Information Networks via Embedding Events. ICONIP (1) 2019: 327-339 - [c1]Guoji Fu, Chengbin Hou, Xin Yao:
Learning Topological Representation for Networks via Hierarchical Sampling. IJCNN 2019: 1-8 - [i2]Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao:
Representation Learning for Heterogeneous Information Networks via Embedding Events. CoRR abs/1901.10234 (2019) - [i1]Guoji Fu, Chengbin Hou, Xin Yao:
Learning Topological Representation for Networks via Hierarchical Sampling. CoRR abs/1902.06684 (2019)
Coauthor Index
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