Machine Learning and Knowledge Discovery in Databases: Research Track [electronic resource] : European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III / edited by Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi.
Contributor(s): Koutra, Danai [editor.]
| Plant, Claudia [editor.] | Gomez Rodriguez, Manuel [editor.] | Baralis, Elena [editor.] | Bonchi, Francesco [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Lecture Notes in Artificial Intelligence: 14171Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: LV, 707 p. 179 illus., 168 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031434181.Subject(s): Artificial intelligence | Computer engineering | Computer networks | Computers | Image processing -- Digital techniques | Computer vision | Software engineering | Artificial Intelligence | Computer Engineering and Networks | Computing Milieux | Computer Imaging, Vision, Pattern Recognition and Graphics | Software EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
In:
Springer Nature eBookSummary: Chapter 41 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.
Graph Neural Networks -- Graphs -- Interpretability -- Knowledge Graphs -- Large-scale Learning.
No physical items for this record
Graph Neural Networks -- Graphs -- Interpretability -- Knowledge Graphs -- Large-scale Learning.
Chapter 41 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.
There are no comments for this item.