Cited By
View all- Li LChu YLiu GWu X(2019)Multi-Objective Optimization-Based Networked Multi-Label Active LearningJournal of Database Management10.4018/JDM.201904010130:2(1-26)Online publication date: 1-Apr-2019
Many classification tasks involve linked nodes, such as people connected by friendship links. For such networks, accuracy might be increased by including, for each node, the (a) labels or (b) attributes of neighboring nodes as model features. Recent work ...
We address the problem of within-network classification in sparsely labeled networks. Recent work has demonstrated success with statistical relational learning (SRL) and semi-supervised learning (SSL) on such problems. However, both approaches rely on ...
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical relational learning have been shown to perform well on network ...
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