78 citations · 108 across the 10 of their papers we have counts for
10 papers
QOMIC: Quantum optimization for motif identification
Hoang M. Ngo, Tamim Khatib, My T. Thai +1
Network motif identification problem aims to find topological patterns in biological networks. Identifying non-overlapping motifs is a computationally challenging problem using cla…
When Decentralized Optimization Meets Federated Learning
Hongchang Gao, My T. Thai, Jie Wu
Federated learning is a new learning paradigm for extracting knowledge from distributed data. Due to its favorable properties in preserving privacy and saving communication costs,…
Deep Graph Representation Learning and Optimization for Influence Maximization
Chen Ling, Junji Jiang, Junxiang Wang +5
Influence maximization (IM) is formulated as selecting a set of initial users from a social network to maximize the expected number of influenced users. Researchers have made great…
Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy
Raed Alharbi, Sylvia Chan-Olmsted, Huan Chen +1
Understanding the COVID-19 vaccine hesitancy, such as who and why, is very crucial since a large-scale vaccine adoption remains as one of the most efficient methods of controlling…
LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images
Nooshin Yousefzadeh, Charlie Tran, Adolfo Ramirez-Zamora +3
Alzheimer's Disease (AD) is a progressive neurodegenerative disease and the leading cause of dementia. Early diagnosis is critical for patients to benefit from potential interventi…
An Explainer for Temporal Graph Neural Networks
Wenchong He, Minh N. Vu, Zhe Jiang +1
Temporal graph neural networks (TGNNs) have been widely used for modeling time-evolving graph-related tasks due to their ability to capture both graph topology dependency and non-l…