Degree-based Feature Is All You Need: Science4Cast Report
dc.contributor.author
Aghajohari, Milad
dc.contributor.author
Akhondzadeh, Mohammad Sadegh
dc.contributor.author
Ashkboos, Saleh
dc.contributor.author
Chitsaz, Kamran
dc.date.accessioned
2022-08-04T12:01:46Z
dc.date.available
2022-07-02T04:17:45Z
dc.date.available
2022-07-06T09:30:15Z
dc.date.available
2022-07-06T09:42:31Z
dc.date.available
2022-08-04T12:01:46Z
dc.date.issued
2021
dc.identifier.isbn
978-1-6654-3902-2
en_US
dc.identifier.isbn
978-1-6654-4599-3
en_US
dc.identifier.other
10.1109/BigData52589.2021.9671530
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/555912
dc.description.abstract
Scientific publications in field of AI can be viewed as an exponentially growing dynamic graph where vertices represent different concepts and each edge represents the first time two concepts got discussed and connected in a publication. Here, as a part of Science4Cast competition, we demonstrate a model to predict future links in this graph based on basic and temporal properties of its vertices. We train various gradient boosting models on this data. Also, we employ dataset augmentation to make these models order-invariant. Finally, we post-process results of individual models to get a single final prediction.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
Degree-based Feature Is All You Need: Science4Cast Report
en_US
dc.type
Conference Paper
dc.date.published
2022-01-13
ethz.book.title
2021 IEEE International Conference on Big Data (Big Data)
en_US
ethz.pages.start
5791
en_US
ethz.pages.end
5794
en_US
ethz.event
9th IEEE International Conference on Big Data (BigData 2021)
en_US
ethz.event.location
Online
en_US
ethz.event.date
December 15-18, 2021
en_US
ethz.identifier.wos
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2022-07-02T04:18:21Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2022-08-04T12:01:54Z
ethz.rosetta.lastUpdated
2022-08-04T12:01:54Z
ethz.rosetta.versionExported
true
ethz.COinS
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Conference Paper [35127]