13 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.SI2022
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network
Chuxuan Hu, Qinghai Zhou, Hanghang Tong
Subteam replacement is defined as finding the optimal candidate set of people who can best function as an unavailable subset of members (i.e., subteam) for certain reasons (e.g., c…
cs.LG2022★ 13 cited
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks
Jian Kang, Qinghai Zhou, Hanghang Tong
Graph Convolutional Network (GCN) has exhibited strong empirical performance in many real-world applications. The vast majority of existing works on GCN primarily focus on the accu…
cs.LG2021★ 6 cited
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Kaize Ding, Qinghai Zhou, Hanghang Tong +1
Network anomaly detection aims to find network elements (e.g., nodes, edges, subgraphs) with significantly different behaviors from the vast majority. It has a profound impact in a…