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An interactive exploration platform for topic evolution graphs
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Julien Karadayi / code Swap Proba Partage
GNU General Public License v3.0 or laterCode python pour les expériences de génération de graphes aléatoires
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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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Louis Fournier / Sparse Patches
BSD 3-Clause "New" or "Revised" LicenseImagenet classification using sparse patch codes.
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Fabrice Lecuyer / rescience-gorder
MIT LicenseThis is the source code of the 2021 replication for ReScience of the paper "Speedup Graph Processing by Graph Ordering" by Hao Wei, Jeffrey Xu Yu, Can Lu, and Xuemin Lin, published in Proceedings of SIGMOD 2016.
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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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Enzo Durand / AlphaZeroICGA
MIT LicenseImplementing deep reinforcement learning algorithms for the ICGA competition.
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Mohammad Imran Syed / BLEPal
GNU General Public License v3.0 or laterUpdated -
ALMASTY / libfes-lite
The UnlicenseUpdated -
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Karine Heydemann / LIP6DROMEL
Apache License 2.0Updated -
Alexis Baudin / MaxCliques-LinkStream
MIT LicenseUpdated -
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