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08/03/2023
Evaluating Link Prediction Explanations for Graph Neural Networks
Graph Machine Learning (GML) has numerous applications, such as node/gra...
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08/01/2023
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers
Images are loaded with semantic information that pertains to real-world ...
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06/07/2023
Fast and Effective GNN Training with Linearized Random Spanning Trees
We present a new effective and scalable framework for training GNNs in s...
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02/08/2023
The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections
Social media has been an important tool in the expansion of the populist...
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11/21/2022
Global misinformation spillovers in the online vaccination debate before and during COVID-19
Anti-vaccination views pervade online social media, fueling distrust in ...
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04/27/2022
Echoes through Time: Evolution of the Italian COVID-19 Vaccination Debate
Twitter is one of the most popular social media platforms in the country...
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03/17/2022
Revealing the determinants of gender inequality in urban cycling with large-scale data
Cycling is an outdoor activity with massive health benefits, and an effe...
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02/17/2022
GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers
Most methods for explaining black-box classifiers (e.g., on tabular data...
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05/28/2021
Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data
Ending poverty in all its forms everywhere is the number one Sustainable...
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04/12/2021
Developing Annotated Resources for Internal Displacement Monitoring
This paper describes in details the design and development of a novel an...
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03/16/2021
Clandestino or Rifugiato? Anti-immigration Facebook Ad Targeting in Italy
Monitoring advertising around controversial issues is an important step ...
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11/08/2020
FairLens: Auditing Black-box Clinical Decision Support Systems
The pervasive application of algorithmic decision-making is raising conc...
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10/09/2020
Facebook Ads: Politics of Migration in Italy
Targeted online advertising is on the forefront of political communicati...
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06/25/2020
Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling
Representation learning models for graphs are a successful family of tec...
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03/28/2019