13 citations · 25 across the 15 of their papers we have counts for
5 papers · 1 filter
Adaptive Neural Architectures for Recommender Systems
Dimitrios Rafailidis, Stefanos Antaris
Deep learning has proved an effective means to capture the non-linear associations of user preferences. However, the main drawback of existing deep learning architectures is that t…
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…
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions
Stefanos Antaris, Dimitrios Rafailidis
Live video streaming has become a mainstay as a standard communication solution for several enterprises worldwide. To efficiently stream high-quality live video content to a large…
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…