1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Efficient Low-Rank GNN Defense Against Structural Attacks
Abdullah Alchihabi, Qing En, Yuhong Guo
Graph Neural Networks (GNNs) have been shown to possess strong representation abilities over graph data. However, GNNs are vulnerable to adversarial attacks, and even minor perturb…
cs.LG2023
GDM: Dual Mixup for Graph Classification with Limited Supervision
Abdullah Alchihabi, Yuhong Guo
Graph Neural Networks (GNNs) require a large number of labeled graph samples to obtain good performance on the graph classification task. The performance of GNNs degrades significa…
cs.CV2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
Marzi Heidari, Abdullah Alchihabi, Qing En +1
Cross-domain few-shot classification induces a much more challenging problem than its in-domain counterpart due to the existence of domain shifts between the training and test task…