Representation Learning for Heterogeneous Information Networks via Embedding Events. - Guoji Fu; Bo Yuan 006; Qiqi Duan; Xin Yao 001 (ICONIP (1), 2019)

Learning Topological Representation for Networks via Hierarchical Sampling. - Guoji Fu; Chengbin Hou; Xin Yao 001 (IJCNN, 2019)

Understanding Graph Neural Networks from Graph Signal Denoising Perspectives. - Guoji Fu; Yifan Hou; Jie Zhang 046; Kaili Ma 001; Barakeel Fanseu Kamhoua; James Cheng (CoRR, 2020)

Robust Dynamic Network Embedding via Ensembles. - Chengbin Hou; Guoji Fu; Peng Yang 008; Shan He 001; Ke Tang 001 (CoRR, 2021)

What Has Been Enhanced in my Knowledge-Enhanced Language Model? - Yifan Hou; Guoji Fu; Mrinmaya Sachan (EMNLP (Findings), 2022)

p-Laplacian Based Graph Neural Networks. - Guoji Fu; Peilin Zhao; Yatao Bian (ICML, 2022)

Understanding Knowledge Integration in Language Models with Graph Convolutions. - Yifan Hou; Guoji Fu; Mrinmaya Sachan (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 001; Junzhou Huang (CoRR, 2022)

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Jintang Li; Junchi Yu; Yatao Bian; Hengtong Zhang; Chaochao Chen 001; Chengbin Hou; Guoji Fu; Liang Chen 001; Tingyang Xu; Yu Rong 001; Xiaolin Zheng; et al. (CoRR, 2022)

SyNDock: N Rigid Protein Docking via Learnable Group Synchronization. - Yuanfeng Ji; Yatao Bian; Guoji Fu; Peilin Zhao; Ping Luo 002 (CoRR, 2023)

Fairness-aware Message Passing for Graph Neural Networks. - Huaisheng Zhu; Guoji Fu; Zhimeng Guo; Zhiwei Zhang; Teng Xiao; Suhang Wang (CoRR, 2023)

Implicit Graph Neural Diffusion Based on Constrained Dirichlet Energy Minimization. - Guoji Fu; Mohammed Haroon Dupty; Yanfei Dong; Lee Wee Sun (CoRR, 2023)

Constrained Layout Generation with Factor Graphs. - Mohammed Haroon Dupty; Yanfei Dong; Sicong Leng; Guoji Fu; Yong Liang Goh; Wei Lu 011; Wee Sun Lee (CVPR, 2024)

Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions. - Guoji Fu; Wee Sun Lee (CoRR, 2025)

Exploration by Random Reward Perturbation. - Haozhe Ma; Guoji Fu; Zhengding Luo; Jiele Wu; Tze-Yun Leong (CoRR, 2025)

Continual Reinforcement Learning by Planning with Online World Models. - Zichen Liu; Guoji Fu; Chao Du; Wee Sun Lee; Min Lin (CoRR, 2025)