Xin Juan

According to our database, Xin Juan authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Label-guided graph contrastive learning for semi-supervised node classification.

Meixin Peng, Xin Juan, Zhanshan Li

Expert Syst. Appl., 2024

Multi-strategy adaptive data augmentation for Graph Neural Networks.

Xin Juan, Xiao Liang, Haotian Xue, Xin Wang

Expert Syst. Appl., 2024

Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision.

Xin Juan, Kaixiong Zhou, Ninghao Liu, Tianlong Chen, Xin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

INS-GNN: Improving graph imbalance learning with self-supervision.

Xin Juan, Fengfeng Zhou, Wentao Wang, Wei Jin, Jiliang Tang, Xin Wang

Inf. Sci., August, 2023

2022

Graph prototypical contrastive learning.

Meixin Peng, Xin Juan, Zhanshan Li

Inf. Sci., 2022

Negative samples selecting strategy for graph contrastive learning.

Rui Miao, Yintao Yang, Yao Ma, Xin Juan, Haotian Xue, Jiliang Tang, Ying Wang, Xin Wang

Inf. Sci., 2022

Similarity-based domain adaptation network.

Meixin Peng, Zhanshan Li, Xin Juan

Neurocomputing, 2022

AutoAUG : Automatic Data Augmentation for Graph Neural Networks.

Xiao Liang, Xin Wang, Haotian Xue, Yintao Yang, Xin Juan, Ying Wang

Proceedings of the 5th International Conference on Algorithms, 2022

2021

Exploring Self-training for Imbalanced Node Classification.

Xin Juan, Meixin Peng, Xin Wang

Proceedings of the Neural Information Processing - 28th International Conference, 2021