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Towards hypergraph cognitive networks as feature-rich models of
  knowledge

Towards hypergraph cognitive networks as feature-rich models of knowledge

13 April 2023
Salvatore Citraro
S. Deyne
Massimo Stella
Giulio Rossetti
ArXiv (abs)PDFHTML

Papers citing "Towards hypergraph cognitive networks as feature-rich models of knowledge"

7 / 7 papers shown
Title
Feature-rich multiplex lexical networks reveal mental strategies of
  early language learning
Feature-rich multiplex lexical networks reveal mental strategies of early language learning
Salvatore Citraro
M. Vitevitch
Massimo Stella
Giulio Rossetti
34
18
0
13 Jan 2022
DASentimental: Detecting depression, anxiety and stress in texts via
  emotional recall, cognitive networks and machine learning
DASentimental: Detecting depression, anxiety and stress in texts via emotional recall, cognitive networks and machine learning
A. Fatima
Li Ying
T. Hills
Massimo Stella
46
28
0
26 Oct 2021
Problems with Shapley-value-based explanations as feature importance
  measures
Problems with Shapley-value-based explanations as feature importance measures
Indra Elizabeth Kumar
Suresh Venkatasubramanian
C. Scheidegger
Sorelle A. Friedler
TDIFAtt
90
368
0
25 Feb 2020
Architecture and evolution of semantic networks in mathematics texts
Architecture and evolution of semantic networks in mathematics texts
Nicolas H. Christianson
Ann Sizemore Blevins
D. Bassett
26
27
0
14 Aug 2019
Data Shapley: Equitable Valuation of Data for Machine Learning
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani
James Zou
TDIFedML
85
791
0
05 Apr 2019
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,090
0
22 May 2017
Multiplex lexical networks reveal patterns in early word acquisition in
  children
Multiplex lexical networks reveal patterns in early word acquisition in children
Massimo Stella
Nicole M. Beckage
M. Brede
31
110
0
11 Sep 2016
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