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Alexis Baudin / MaxCliques-LinkStream
MIT LicenseUpdated -
ALMASTY / High-Performance Xbred
The UnlicenseUpdated -
equipebd / atem
GNU General Public License v2.0 or laterATEM is a novel framework for studying topic evolution in scientific archives. It is based on dynamic topic modeling and dynamic graph embedding techniques that explore the dynamics of content and citations of documents within a scientific corpus. ATEM explores a new notion of contextual emergence for the discovery of emerging interdisciplinary research topics based on the dynamics of citation links in topic clusters. Our experiments show that ATEM can efficiently detect emerging cross-disciplinary topics within the DBLP archive of over five million computer science articles.
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Theo Archambault / visapp2023
MIT LicenseUpdated -
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Alexis Baudin / LSCPM
MIT LicenseUpdated -
Lionel Tabourier / code pks generation
GNU General Public License v3.0 or laterPython code for online version of pks generation algorithm
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equipebd / Epique Prototype
GNU General Public License v3.0 or laterEPIQUE: Exploring the Evolution of Science with Pivot Topic Graphs
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Theo Archambault / JAMES2024
MIT LicenseUpdated -
Alexandre Pham / Data Poisoning Attacks in Gossip Learning
Apache License 2.0Updated