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Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping
Graph neural networks (GNNs) are processing architectures that exploit graph structural information to model representations from network data.
Feature Interaction based Neural Network for Click-Through Rate Prediction
In this paper, we propose a Feature Interaction based Neural Network (FINN) which is able to model feature interaction via a 3-dimention relation tensor.
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Click-Through Rate Prediction
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