We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
In this paper, a novel hierarchical clustering method using link analysis techniques is introduced. The algorithm is formulated as an authority seeking procedure on graphs, which c...
Minsu Cho (Seoul National University), Kyoung Mu L...
A promising approach to compare two graph clusterings is based on using measurements for calculating the distance between them. Existing measures either use the structure of cluste...
In this work we introduce event-driven grammars, a kind of graph grammars that are especially suited for visual modelling environments generated by meta-modelling. Rules in these g...
Structural Knowledge Graph Navigator (SKGN) supports end users of Web applications by simple means for ad hoc querying and browsing in an object-oriented database. The interface h...