Embeddings and Representation Learning for Structured Data

Paaßen B, Gallicchio C, Micheli A, Sperduti A (2019)
In: Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Verleysen M (Ed); 85-94.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
Performing machine learning on structured data is complicated by the fact that such data does not have vectorial form. Therefore, multiple approaches have emerged to construct vectorial representations of structured data, from kernel and distance approaches to recurrent, recursive, and convolutional neural networks. Recent years have seen heightened attention in this demanding field of research and several new approaches have emerged, such as metric learning on structured data, graph convolutional neural networks, and recurrent decoder networks for structured data. In this contribution, we provide an high-level overview of the state-of-the-art in representation learning and embeddings for structured data across a wide range of machine learning fields.
Erscheinungsjahr
2019
Titel des Konferenzbandes
Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019)
Seite(n)
85-94
Konferenz
27th European Symposium on Artificial Neural Networks (ESANN 2019)
Konferenzort
Bruges
Konferenzdatum
2019-04-24 – 2019-04-26
ISBN
978-287-587-065-0
Page URI
https://pub.uni-bielefeld.de/record/2934571

Zitieren

Paaßen B, Gallicchio C, Micheli A, Sperduti A. Embeddings and Representation Learning for Structured Data. In: Verleysen M, ed. Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). 2019: 85-94.
Paaßen, B., Gallicchio, C., Micheli, A., & Sperduti, A. (2019). Embeddings and Representation Learning for Structured Data. In M. Verleysen (Ed.), Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019) (pp. 85-94).
Paaßen, B., Gallicchio, C., Micheli, A., and Sperduti, A. (2019). “Embeddings and Representation Learning for Structured Data” in Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019), Verleysen, M. ed. 85-94.
Paaßen, B., et al., 2019. Embeddings and Representation Learning for Structured Data. In M. Verleysen, ed. Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). pp. 85-94.
B. Paaßen, et al., “Embeddings and Representation Learning for Structured Data”, Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019), M. Verleysen, ed., 2019, pp.85-94.
Paaßen, B., Gallicchio, C., Micheli, A., Sperduti, A.: Embeddings and Representation Learning for Structured Data. In: Verleysen, M. (ed.) Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). p. 85-94. (2019).
Paaßen, Benjamin, Gallicchio, Claudio, Micheli, Alessio, and Sperduti, Alessandro. “Embeddings and Representation Learning for Structured Data”. Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019). Ed. Michel Verleysen. 2019. 85-94.
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