1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AR2024
Accelerating Mini-batch HGNN Training by Reducing CUDA Kernels
Meng Wu, Jingkai Qiu, Mingyu Yan +5
Heterogeneous graph neural networks (HGNNs) are essential for capturing the structure and semantic information in heterogeneous graphs. However, existing GPU-based solutions, such…
cs.LG2024★ 1 cited
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack
Xin Liu, Yuxiang Zhang, Meng Wu +6
Edge perturbation is a basic method to modify graph structures. It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i.e.…
cs.CV2023
TLMCM Network for Medical Image Hierarchical Multi-Label Classification
Meng Wu, Siyan Luo, Qiyu Wu +1
Medical Image Hierarchical Multi-Label Classification (MI-HMC) is of paramount importance in modern healthcare, presenting two significant challenges: data imbalance and \textit{hi…