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cs.DB2018
Mining Top-k Sequential Patterns in Database Graphs:A New Challenging Problem and a Sampling-based Approach
Mingtao Lei, Lingyang Chu, Zhefeng Wang
In many real world networks, a vertex is usually associated with a transaction database that comprehensively describes the behaviour of the vertex. A typical example is the social…
cs.SI2018
Mining Density Contrast Subgraphs
Yu Yang, Lingyang Chu, Yanyan Zhang +3
Dense subgraph discovery is a key primitive in many graph mining applications, such as detecting communities in social networks and mining gene correlation from biological data. Mo…
cs.CV2018
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution
Lingyang Chu, Xia Hu, Juhua Hu +2
Strong intelligent machines powered by deep neural networks are increasingly deployed as black boxes to make decisions in risk-sensitive domains, such as finance and medical. To re…