Peizhen Bai

According to our database, Peizhen Bai authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Interpretable bilinear attention network with domain adaptation improves drug-target prediction.

Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu

Nat. Mac. Intell., February, 2023

GripNet: Graph information propagation on supergraph for heterogeneous graphs.

Hao Xu, Shengqi Sang, Peizhen Bai, Ruike Li, Laurence Yang, Haiping Lu

Pattern Recognit., 2023

Geometry-aware Line Graph Transformer Pre-training for Molecular Property Prediction.

Peizhen Bai, Xianyuan Liu, Haiping Lu

CoRR, 2023

2022

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python.

Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python.

Haiping Lu, Xianyuan Liu, Robert Turner, Peizhen Bai, Raivo E. Koot, Shuo Zhou, Mustafa Chasmai, Lawrence Schobs

CoRR, 2021

Hierarchical Clustering Split for Low-Bias Evaluation of Drug-Target Interaction Prediction.

Peizhen Bai, Filip Miljkovic, Yan Ge, Nigel Greene, Bino John, Haiping Lu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs.

Hao Xu, Shengqi Sang, Peizhen Bai, Laurence T. Yang, Haiping Lu

CoRR, 2020

2019

Corrigendum to "Joint interaction with context operation for collaborative filtering" [Pattern Recognition 88 (2019) 729-738].

Peizhen Bai, Yan Ge, Fangling Liu, Haiping Lu

Pattern Recognit., 2019

Joint interaction with context operation for collaborative filtering.

Peizhen Bai, Yan Ge, Fangling Liu, Haiping Lu

Pattern Recognit., 2019