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Guoji Fu
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2020 – today
- 2024
- [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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last updated on 2024-08-05 21:13 CEST by the dblp team
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