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AI3SD Molecules, Graphs & AI Workshop Report 2019

AI3SD Molecules, Graphs & AI Workshop Report 2019
AI3SD Molecules, Graphs & AI Workshop Report 2019
This event was one of the first full day workshops hosted by the AI3SD Network. It was hosted by the AI3SD Network at the picturesque Ageas Bowl, Southampton. The workshop was designed to explore the ways in which molecular graphs can be used to drive property and other predictions using Machine Learning and other AI techniques. The programme was made up from a number of keynote talks ranging on the applications of Graph Theory in a variety of areas from biosciences to machine translation. The keynote talks were followed by discussion with the participants and two sessions group talks on a number of themes surrounding the application of graph theory. Refreshments were provided throughout the day which gave plenty of opportunities for attendees to network and talk further about AI topics. The day also concluded with a drinks networking session.
AI3SD, Workshop Report, Molecules, Graphs, AI, Artificial Intelligence, Machine Learning, graph theory, unsupervised learning
6
University of Southampton
Knight, Nicola
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Kanza, Samantha
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Frey, Jeremy G.
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Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f

Knight, Nicola , Kanza, Samantha and Frey, Jeremy G. (eds.) (2022) AI3SD Molecules, Graphs & AI Workshop Report 2019 (AI3SD-Event-Series, 6) University of Southampton 9pp. (doi:10.5258/SOTON/P0006).

Record type: Monograph (Project Report)

Abstract

This event was one of the first full day workshops hosted by the AI3SD Network. It was hosted by the AI3SD Network at the picturesque Ageas Bowl, Southampton. The workshop was designed to explore the ways in which molecular graphs can be used to drive property and other predictions using Machine Learning and other AI techniques. The programme was made up from a number of keynote talks ranging on the applications of Graph Theory in a variety of areas from biosciences to machine translation. The keynote talks were followed by discussion with the participants and two sessions group talks on a number of themes surrounding the application of graph theory. Refreshments were provided throughout the day which gave plenty of opportunities for attendees to network and talk further about AI topics. The day also concluded with a drinks networking session.

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AI3SD-Event-Series_Report-6_MoleculesGraphsAI - Version of Record
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More information

In preparation date: 7 February 2019
Published date: 9 February 2022
Keywords: AI3SD, Workshop Report, Molecules, Graphs, AI, Artificial Intelligence, Machine Learning, graph theory, unsupervised learning

Identifiers

Local EPrints ID: 454438
URI: http://eprints.soton.ac.uk/id/eprint/454438
PURE UUID: ee9487e9-18b4-4ac6-a2b8-0c6e83e8dc4b
ORCID for Nicola Knight: ORCID iD orcid.org/0000-0001-8286-3835
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302

Catalogue record

Date deposited: 09 Feb 2022 17:40
Last modified: 16 Mar 2024 04:41

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Contributors

Author: Nicola Knight ORCID iD
Editor: Samantha Kanza ORCID iD
Editor: Jeremy G. Frey ORCID iD

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