The approaches adopted by inductive learning of complex structure can be classified into logic-based ones and graph-based ones according to knowledge representation.
复杂结构归纳学习方法按照知识表示方式不同分为基于逻辑的方法与基于数学图的方法。
Graph-based learning is a very active direction of semi-supervised learning in recent years. It describes the sample space by graph, and USES neighbors to spread label information in point cloud.
基于图的学习是近几年来半监督学习中一个相当活跃的方向，它用图来描述样本空间，利用近邻点的位置来控制标记信息的传播。
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