Guoji Fu

According to our database, Guoji Fu authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Constrained Layout Generation with Factor Graphs.

Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee

CoRR, 2024

Constrained Layout Generation with Factor Graphs.

Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Implicit Graph Neural Diffusion Based on Constrained Dirichlet Energy Minimization.

Guoji Fu, Mohammed Haroon Dupty, Yanfei Dong, Lee Wee Sun

CoRR, 2023

Fairness-aware Message Passing for Graph Neural Networks.

Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang

CoRR, 2023

SyNDock: N Rigid Protein Docking via Learnable Group Synchronization.

Yuanfeng Ji, Yatao Bian, Guoji Fu, Peilin Zhao, Ping Luo

CoRR, 2023

2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.

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

CoRR, 2022

Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift.

Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang

CoRR, 2022

Understanding Knowledge Integration in Language Models with Graph Convolutions.

Yifan Hou, Guoji Fu, Mrinmaya Sachan

CoRR, 2022

p-Laplacian Based Graph Neural Networks.

Guoji Fu, Peilin Zhao, Yatao Bian

Proceedings of the International Conference on Machine Learning, 2022

What Has Been Enhanced in my Knowledge-Enhanced Language Model?

Yifan Hou, Guoji Fu, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Robust Dynamic Network Embedding via Ensembles.

Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang

CoRR, 2021

2020

Understanding Graph Neural Networks from Graph Signal Denoising Perspectives.

Guoji Fu, Yifan Hou, Jie Zhang, Kaili Ma, Barakeel Fanseu Kamhoua, James Cheng

CoRR, 2020

2019

Learning Topological Representation for Networks via Hierarchical Sampling.

Guoji Fu, Chengbin Hou, Xin Yao

Proceedings of the International Joint Conference on Neural Networks, 2019

Representation Learning for Heterogeneous Information Networks via Embedding Events.

Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao

Proceedings of the Neural Information Processing - 26th International Conference, 2019