177 citations · 259 across the 9 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 3 cited
GraLSP: Graph Neural Networks with Local Structural Patterns
Yilun Jin, Guojie Song, Chuan Shi
It is not until recently that graph neural networks (GNNs) are adopted to perform graph representation learning, among which, those based on the aggregation of features within the…
cs.LG2019
DANE: Domain Adaptive Network Embedding
Yizhou Zhang, Guojie Song, Lun Du +2
Recent works reveal that network embedding techniques enable many machine learning models to handle diverse downstream tasks on graph structured data. However, as previous methods…
cs.LG2019★ 177 cited
SecureBoost: A Lossless Federated Learning Framework
Kewei Cheng, Tao Fan, Yilun Jin +4
The protection of user privacy is an important concern in machine learning, as evidenced by the rolling out of the General Data Protection Regulation (GDPR) in the European Union (…