4 citations · 8 across the 3 of their papers we have counts for
4 papers
Scalable Label Propagation for Multi-relational Learning on the Tensor Product of Graphs
Zhuliu Li, Raphael Petegrosso, Shaden Smith +3
Multi-relational learning on knowledge graphs infers high-order relations among the entities across the graphs. This learning task can be solved by label propagation on the tensor…
Low-rank Label Propagation for Semi-supervised Learning with 100 Millions Samples
Raphael Petegrosso, Wei Zhang, Zhuliu Li +2
The success of semi-supervised learning crucially relies on the scalability to a huge amount of unlabelled data that are needed to capture the underlying manifold structure for bet…
Predicting Small Group Accretion in Social Networks: A topology based incremental approach
Ankit Sharma, Xiaodong Feng, Kartik Singhal +2
Small Group evolution has been of central importance in social sciences and also in the industry for understanding dynamics of team formation. While most of research works studying…
Inferring Disease and Gene Set Associations with Rank Coherence in Networks
TaeHyun Hwang, Wei Zhang, Maoqiang Xie +1
A computational challenge to validate the candidate disease genes identified in a high-throughput genomic study is to elucidate the associations between the set of candidate genes…