xLightGCN: Explainable Graph Neural Network Based Recommendation Systems with Most Influential Peers
This paper proposes a technique built on LightGCN like architectures, an influential and popular class of recommendation models, that provides an appropriate assurance mechanism for these AI systems leading to specific advantages, including interpretable explanations and a theoretically guaranteed measure of explanatio...