Fairness-aware graph neural networks: A survey
Graph Neural Networks (GNNs) have become increasingly important due to their
representational power and state-of-the-art predictive performance on many fundamental …
representational power and state-of-the-art predictive performance on many fundamental …
[HTML][HTML] AI alignment: Assessing the global impact of recommender systems
L Bojic - Futures, 2024 - Elsevier
The recent growing concerns surrounding the pervasive adoption of generative AI can be
traced back to the long-standing influence of AI algorithms that have predominantly served …
traced back to the long-standing influence of AI algorithms that have predominantly served …
Dynamic spectrum access for Internet-of-Things with joint GNN and DQN
With the rapid growth in access demand for Internet of Things (IoT) devices, effective
utilization of spectrum resource has become a key challenge to ensure reliable …
utilization of spectrum resource has become a key challenge to ensure reliable …
Social Network Community Detection to Deal with Gray-Sheep and Cold-Start Problems in Music Recommender Systems
D Sánchez-Moreno, VF López Batista… - Information, 2024 - mdpi.com
Information from social networks is currently being widely used in many application
domains, although in the music recommendation area, its use is less common because of …
domains, although in the music recommendation area, its use is less common because of …
[PDF][PDF] Quantifying Fairness Disparities in Graph-Based Neural Network Recommender Systems for Protected Groups.
The wide acceptance of Recommender Systems (RS) among users for product and service
suggestions has led to the proposal of multiple recommendation methods that have …
suggestions has led to the proposal of multiple recommendation methods that have …