111 citations · 169 across the 15 of their papers we have counts for
3 papers · 1 filter
Theory reconstruction: a representation learning view on predicate invention
Sebastijan Dumancic, Wannes Meert, Hendrik Blockeel
With this positional paper we present a representation learning view on predicate invention. The intention of this proposal is to bridge the relational and deep learning communitie…
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation
Sebastijan Dumancic, Hendrik Blockeel
The goal of unsupervised representation learning is to extract a new representation of data, such that solving many different tasks becomes easier. Existing methods typically focus…
An expressive dissimilarity measure for relational clustering using neighbourhood trees
Sebastijan Dumancic, Hendrik Blockeel
Clustering is an underspecified task: there are no universal criteria for what makes a good clustering. This is especially true for relational data, where similarity can be based o…