We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Ho...
Top trees are a dynamic self-adjusting data structure that can be used by any tree algorithm. Actually, an arbitrary number of different tree algorithms can use a single structure....
This paper describes the building of a research library for studying the Web, especially research on how the structure and content of the Web change over time. The library is part...
William Y. Arms, Selcuk Aya, Pavel Dmitriev, Blaze...
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...