Eco-Aware Graph Neural Networks in Recommendations

This chapter discusses Eco-Aware Graph Neural Networks, emphasizing their environmental impact in recommendation systems beyond traditional accuracy metrics. It highlights the importance of evaluating training and inference costs, introduces the Code Carbon framework for monitoring energy consumption, and encourages a deeper understanding of the ecological footprint of machine learning models.