1 citations · 1 across the 12 of their papers we have counts for
3 papers · 2 filters
Data-Driven Self-Supervised Graph Representation Learning
Ahmed E. Samy, Zekarias T. Kefatoa, Sarunas Girdzijauskasa
Self-supervised graph representation learning (SSGRL) is a representation learning paradigm used to reduce or avoid manual labeling. An essential part of SSGRL is graph data augmen…
Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction
Ivan Kralj, Lodovico Giaretta, Gordan Ježić +2
In smart mobility, large networks of geographically distributed sensors produce vast amounts of high-frequency spatio-temporal data that must be processed in real time to avoid maj…
On the effects of similarity metrics in decentralized deep learning under distributional shift
Edvin Listo Zec, Tom Hagander, Eric Ihre-Thomason +1
Decentralized Learning (DL) enables privacy-preserving collaboration among organizations or users to enhance the performance of local deep learning models. However, model aggregati…