6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Fine-grained Graph Learning for Multi-view Subspace Clustering
Yidi Wang, Xiaobing Pei, Haoxi Zhan
Multi-view subspace clustering (MSC) is a popular unsupervised method by integrating heterogeneous information to reveal the intrinsic clustering structure hidden across views. Usu…
cs.LG2021★ 6 cited
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
Haoxi Zhan, Xiaobing Pei
Graph Neural Networks (GNNs) have received significant attention due to their state-of-the-art performance on various graph representation learning tasks. However, recent studies r…
cs.LG2020★ 2 cited
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
Haoxi Zhan, Xiaobing Pei
Deep learning models for graphs, especially Graph Convolutional Networks (GCNs), have achieved remarkable performance in the task of semi-supervised node classification. However, r…