Haipeng Ding

According to our database, Haipeng Ding authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs.

Runlin Lei, Jiarui Ji, Haipeng Ding, Lu Yi, Zhewei Wei, Yongchao Liu, Chuntao Hong

CoRR, March, 2025

Scalable and Effective Graph Neural Networks via Trainable Random Walk Sampling.

Haipeng Ding, Zhewei Wei, Yuhang Ye

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

Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report.

Haipeng Ding, Zhewei Wei, Yuhang Ye

CoRR, January, 2025

Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification.

Haipeng Ding, Zhewei Wei, Yuhang Ye

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2023

Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms.

Yihua Hu, Feng Zhang, Yifei Xia, Zhiming Yao, Letian Zeng, Haipeng Ding, Zhewei Wei, Xiao Zhang, Jidong Zhai, Xiaoyong Du, Siqi Ma

IEEE Trans. Parallel Distributed Syst., October, 2023

2022

Optimizing Random Access to Hierarchically-Compressed Data on GPU.

Feng Zhang, Yihua Hu, Haipeng Ding, Zhiming Yao, Zhewei Wei, Xiao Zhang, Xiaoyong Du

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

Neural, symbolic and neural-symbolic reasoning on knowledge graphs.

Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke, Haipeng Ding

AI Open, 2021

2020

Neural-Symbolic Reasoning on Knowledge Graphs.

Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke, Haipeng Ding

CoRR, 2020