9 citations · 12 across the 10 of their papers we have counts for
4 papers · 1 filter
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events
Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas
In this study, we present a dynamic graph representation learning model on weighted graphs to accurately predict the network capacity of connections between viewers in a live video…
Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation
Stefanos Antaris, Dimitrios Rafailidis
Dynamic graph representation learning strategies are based on different neural architectures to capture the graph evolution over time. However, the underlying neural architectures…
On Estimating the Training Cost of Conversational Recommendation Systems
Stefanos Antaris, Dimitrios Rafailidis, Mohammad Aliannejadi
Conversational recommendation systems have recently gain a lot of attention, as users can continuously interact with the system over multiple conversational turns. However, convers…
Leveraging Trust and Distrust in Recommender Systems via Deep Learning
Dimitrios Rafailidis
The data scarcity of user preferences and the cold-start problem often appear in real-world applications and limit the recommendation accuracy of collaborative filtering strategies…