26 citations · 45 across the 9 of their papers we have counts for
17 papers
Benchmarking Graph Neural Networks for Internet Routing Data
Dimitrios Panteleimon Giakatos, Sofia Kostoglou, Pavlos Sermpezis +1
The Internet is composed of networks, called Autonomous Systems (or, ASes), interconnected to each other, thus forming a large graph. While both the AS-graph is known and there is…
Network Friendly Recommendations: Optimizing for Long Viewing Sessions
Theodoros Giannakas, Pavlos Sermpezis, Thrasyvoulos Spyropoulos
Caching algorithms try to predict content popularity, and place the content closer to the users. Additionally, nowadays requests are increasingly driven by recommendation systems (…
Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning
Marinos Poiitis, Pavlos Sermpezis, Athena Vakali
Graph Representation Learning (GRL) has become essential for modern graph data mining and learning tasks. GRL aims to capture the graph's structural information and exploit it in c…
Estimating the Impact of BGP Prefix Hijacking
Pavlos Sermpezis, Vasileios Kotronis, Konstantinos Arakadakis +1
BGP prefix hijacking is a critical threat to the resilience and security of communications in the Internet. While several mechanisms have been proposed to prevent, detect or mitiga…
Fairness in Network-Friendly Recommendations
Theodoros Giannakas, Pavlos Sermpezis, Anastasios Giovanidis +2
As mobile traffic is dominated by content services (e.g., video), which typically use recommendation systems, the paradigm of network-friendly recommendations (NFR) has been propos…
Network-aware Recommendations in the Wild: Methodology, Realistic Evaluations, Experiments
Savvas Kastanakis, Pavlos Sermpezis, Vasileios Kotronis +2
Joint caching and recommendation has been recently proposed as a new paradigm for increasing the efficiency of mobile edge caching. Early findings demonstrate significant gains for…