Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Tina Eliassi-Rad"'
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-31 (2024)
Abstract Vertex classification using graph convolutional networks is susceptible to targeted poisoning attacks, in which both graph structure and node attributes can be changed in an attempt to misclassify a target node. This vulnerability decreases
Externí odkaz:
https://doaj.org/article/13df139afd7f4534bfd44ab9ee3f81f0
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-43 (2023)
Abstract Self-propagating malware (SPM) is responsible for large financial losses and major data breaches with devastating social impacts that cannot be understated. Well-known campaigns such as WannaCry and Colonial Pipeline have been able to propag
Externí odkaz:
https://doaj.org/article/e88104c4a9624d8eb27711fcb00459a7
Autor:
Brennan Klein, Timothy LaRock, Stefan McCabe, Leo Torres, Lisa Friedland, Maciej Kos, Filippo Privitera, Brennan Lake, Moritz U G Kraemer, John S Brownstein, Richard Gonzalez, David Lazer, Tina Eliassi-Rad, Samuel V Scarpino, Alessandro Vespignani, Matteo Chinazzi
Publikováno v:
PLOS Digital Health, Vol 3, Iss 2, p e0000430 (2024)
The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and endogenous (spontaneous reaction to infection risks) origin. Here, we
Externí odkaz:
https://doaj.org/article/91a7770b99f444f6b2cb080533e1f23d
Autor:
Ayan Chatterjee, Robin Walters, Zohair Shafi, Omair Shafi Ahmed, Michael Sebek, Deisy Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
State-of-the-art machine learning models in drug discovery fail to reliably predict the binding properties of poorly annotated proteins and small molecules. Here, the authors present AI-Bind, a machine learning pipeline to improve generalizability an
Externí odkaz:
https://doaj.org/article/6269a5ed797a41ff898a72b3ecaaee47
Publikováno v:
Applied Network Science, Vol 7, Iss 1, Pp 1-20 (2022)
Abstract It is well known that networks generated by common mechanisms such as preferential attachment and homophily can disadvantage the minority group by limiting their ability to establish links with the majority group. This has the effect of limi
Externí odkaz:
https://doaj.org/article/0da47611988f494ea94184ae71d10664
Publikováno v:
EPJ Data Science, Vol 11, Iss 1, Pp 1-32 (2022)
Abstract The maritime shipping network is the backbone of global trade. Data about the movement of cargo through this network comes in various forms, from ship-level Automatic Identification System (AIS) data, to aggregated bilateral trade volume sta
Externí odkaz:
https://doaj.org/article/83fb79bd2f204334baf9f89334a7a9b3
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-20 (2021)
Abstract Complex networks are often either too large for full exploration, partially accessible, or partially observed. Downstream learning tasks on these incomplete networks can produce low quality results. In addition, reducing the incompleteness o
Externí odkaz:
https://doaj.org/article/d9c0c54179f54365aeb9ff7985ad5fe9
Publikováno v:
Applied Network Science, Vol 5, Iss 1, Pp 1-25 (2020)
Abstract Studies of networked phenomena, such as interactions in online social media, often rely on incomplete data, either because these phenomena are partially observed, or because the data is too large or expensive to acquire all at once. Analysis
Externí odkaz:
https://doaj.org/article/9074238bf59f47f6a7a59fc45b0d0716
Autor:
Tina Eliassi-Rad, Henry Farrell, David Garcia, Stephan Lewandowsky, Patricia Palacios, Don Ross, Didier Sornette, Karim Thébault, Karoline Wiesner
Publikováno v:
Humanities & Social Sciences Communications, Vol 7, Iss 1, Pp 1-4 (2020)
Abstract Political scientists have conventionally assumed that achieving democracy is a one-way ratchet. Only very recently has the question of “democratic backsliding” attracted any research attention. We argue that democratic instability is bes
Externí odkaz:
https://doaj.org/article/43907122ca25468ba7767d6b24853227
Publikováno v:
EPJ Data Science, Vol 8, Iss 1, Pp 1-20 (2019)
Abstract Reading remains a preferred leisure activity fueling an exceptionally competitive publishing market: among more than three million books published each year, only a tiny fraction are read widely. It is largely unpredictable, however, which b
Externí odkaz:
https://doaj.org/article/8b365dff15c541489bc7200da378027f