10 citations · 25 across the 10 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
MentorGNN: Deriving Curriculum for Pre-Training GNNs
Dawei Zhou, Lecheng Zheng, Dongqi Fu +2
Graph pre-training strategies have been attracting a surge of attention in the graph mining community, due to their flexibility in parameterizing graph neural networks (GNNs) witho…
cs.LG2022★ 1 cited
A Unified Meta-Learning Framework for Dynamic Transfer Learning
Jun Wu, Jingrui He
Transfer learning refers to the transfer of knowledge or information from a relevant source task to a target task. However, most existing works assume both tasks are sampled from a…
cs.CR2022★ 1 cited
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning
Dongqi Fu, Jingrui He, Hanghang Tong +1
Directly motivated by security-related applications from the Homeland Security Enterprise, we focus on the privacy-preserving analysis of graph data, which provides the crucial cap…