Abstract: In the field of recommender systems, graph neural networks (GNNs) have been extensively applied to collaborative filtering to generate personalized recommendations for users. To solve the ...
Abstract: Graph Neural Networks (GNNs) are commonly applied in graph anomaly detection. Despite their success in mining structured data, traditional GNNs often encounter issues like over-smoothing and ...
All right. Welcome back. I'm Tom O'Malley, semi and semi-cap analyst here at Barclays. Very pleased to have Rahul and Ken from Synaptics here. Thank you for joining guys. And we are at the Edge. So ...
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