Guest editors’ introduction: special issue on mining and learning with graphs
Graph kernels based on tree patterns for molecules
On the properties of von Neumann kernels for link analysis
gBoost: a mathematical programming approach to graph classification and regression
Mining probabilistic automata: a statistical view of sequential pattern mining
An efficient algorithm for learning to rank from preference graphs
Pool-based active learning in approximate linear regression
The generalization performance of ERM algorithm with strongly mixing observations
Search-based structured prediction
Transfer bounds for linear feature learning
Efficient covariance matrix update for variable metric evolution strategies
Upper bound for variational free energy of Bayesian networks
Bayesian learning of graphical vector autoregressions with unequal lag-lengths
NP-hardness of Euclidean sum-of-squares clustering