Pengfei Ding

According to our database, Pengfei Ding authored at least 8 papers between 2019 and 2025.

Collaborative distances:

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

2025

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation.

Jiajie Zhu, Yan Wang, Feng Zhu, Pengfei Ding, Hongyang Liu, Zhu Sun

CoRR, May, 2025

Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs.

Pengfei Ding, Yan Wang, Guanfeng Liu, Nan Wang, Xiaofang Zhou

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

2024

Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects.

Pengfei Ding, Yan Wang, Guanfeng Liu

CoRR, 2024

Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs.

Pengfei Ding, Yan Wang, Guanfeng Liu, Nan Wang

CoRR, 2024

2023

Few-Shot Semantic Relation Prediction Across Heterogeneous Graphs.

Pengfei Ding, Yan Wang, Guanfeng Liu, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., October, 2023

A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery.

Pengfei Ding, Guanfeng Liu, Yan Wang, Kai Zheng, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., March, 2023

Cross-heterogeneity Graph Few-shot Learning.

Pengfei Ding, Yan Wang, Guanfeng Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2019

Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery.

Pengfei Ding, Guanfeng Liu, Pengpeng Zhao, An Liu, Zhixu Li, Kai Zheng

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019