Haoran Duan

According to our database, Haoran Duan authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

2025

Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding.

LinYu Li, Zhi Jin, Yuanpeng He, Dongming Jin, Yichi Zhang, Haoran Duan, Nyima Tash

CoRR, August, 2025

Multi-View Riemannian Manifolds Fusion Enhancement for Knowledge Graph Completion.

LinYu Li, Zhi Jin, Xuan Zhang, Haoran Duan, Jishu Wang, Zhengwei Tao, Haiyan Zhao, Xiaofeng Zhu

IEEE Trans. Knowl. Data Eng., May, 2025

Rethinking Regularization Methods for Knowledge Graph Completion.

Linyu Li, Zhi Jin, Yuanpeng He, Dongming Jin, Haoran Duan, Zhengwei Tao, Xuan Zhang, Jiandong Li

CoRR, May, 2025

NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning.

Xiong Zhang, Cheng Xie, Haoran Duan, Beibei Yu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Cross-View Masked Model for Self-Supervised Graph Representation Learning.

Haoran Duan, Beibei Yu, Cheng Xie

IEEE Trans. Artif. Intell., November, 2024

Node and edge dual-masked self-supervised graph representation.

Peng Tang, Cheng Xie, Haoran Duan

Knowl. Inf. Syst., April, 2024

Contextual features online prediction for self-supervised graph representation.

Haoran Duan, Cheng Xie, Peng Tang, Beibei Yu

Expert Syst. Appl., March, 2024

Meta-path and hypergraph fused distillation framework for heterogeneous information networks embedding.

Beibei Yu, Cheng Xie, Hongming Cai, Haoran Duan, Peng Tang

Inf. Sci., 2024

Reserving-Masking-Reconstruction Model for Self-Supervised Heterogeneous Graph Representation.

Haoran Duan, Cheng Xie, Linyu Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Masked Auto-Encoder with Multiple Masks for Graph Representation Learning.

Boyu Chen, Cheng Xie, Haoran Duan

Proceedings of the IEEE International Conference on e-Business Engineering, 2024

2023

Self-supervised contrastive graph representation with node and graph augmentation.

Haoran Duan, Cheng Xie, Bin Li, Peng Tang

Neural Networks, October, 2023

Multi-view graph representation with similarity diffusion for general zero-shot learning.

Beibei Yu, Cheng Xie, Peng Tang, Haoran Duan

Neural Networks, September, 2023

Motif Masking-based Self-Supervised Learning For Molecule Graph Representation Learning.

Yasu Wu, Changlong Fu, Manwen Yang, Haoran Duan, Cheng Xie

Proceedings of the IEEE International Conference on e-Business Engineering, 2023

2022

Contrast and Aggregation Network for Generalized Zero-shot Learning.

Bin Li, Cheng Xie, Jingqi Yang, Haoran Duan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022