2 papers
cs.LG2026
The Impact of Dimensionality on the Stability of Node Embeddings
Tobias Schumacher, Simon Reichelt, Markus Strohmaier
Previous work has shown that node embedding methods can produce different representations and downstream predictions across repeated training runs, even when trained on the same da…
cs.SI2024
Recommendation Fairness in Social Networks Over Time
Meng Cao, Hussain Hussain, Sandipan Sikdar +3
In social recommender systems, it is crucial that the recommendation models provide equitable visibility for different demographic groups, such as gender or race. Most existing res…