Eco-aware GNN Recommenders @Dataskeptic
Eco-aware GNN Recommenders  @Dataskeptic
Uploaded August 2025 | Updated September 2026, 3 weeks ago
In this episode of Data Skeptic, we dive into eco-friendly AI with Antonio Purificato, a PhD student from Sapienza University of Rome. Antonio discusses his research on "EcoAware Graph Neural Networks for Sustainable Recommendations" and explores how we can measure and reduce the environmental impact of recommender systems without sacrificing performance.
Eco-aware GNN RecommendersCuddlefish Model TuningReducing the Impact of Ship Noise on Marine MammalsWeird CommunicationOpenWormWhat the Antlion KnowsAnalysis of Unstructured DataCollective Altruism in Recommender SystemsCrowdfunded Board Games4 out of 5 Data Scientists AgreeFair Hierarchical ClusteringNetwork of Past Guests Collaborations
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Eco-aware GNN Recommenders

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