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
University of Southampton
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
9 February 2022
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.
Text
AI3SD-Event-Series_Report-6_MoleculesGraphsAI
- Version of Record
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
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Date deposited: 09 Feb 2022 17:40
Last modified: 16 Mar 2024 04:41
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Author:
Nicola Knight
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