机译:在单个标签图中挖掘全局分布的频繁子图
School of Computer Engineering, Nanyang Technological University. Singapore 639798;
Management Science and Information Systems Department, Rutgers University, NJ 07102, USA;
IBM China Research Laboratory, Beijing 100094, China;
School of Computer Engineering, Nanyang Technological University. Singapore 639798;
frequent subgraph mining; G-Measure; G-Pattern;
机译:从标记图挖掘频繁子图的通用框架
机译:分布频繁的子图挖掘在演化图中使用火花
机译:NODAR:从单个标记图挖掘全球分布的子结构
机译:唯一边缘标签图中的闭合频繁子图挖掘算法
机译:频繁的子图挖掘算法适应非编码RNA拓扑比对和功能预测
机译:频繁失调的疾病通路和预测的个性化信号通路网络组的频率子图挖掘
机译:ScaleMine:单个大图中的可伸缩并行频繁子图挖掘