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Sungyong Seo
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When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation
Differentiable Physics-informed Graph Networks
Partially Generative Neural Networks for Gang Crime Classification with Partial Information
Automatically Inferring Data Quality for Spatiotemporal Forecasting
CSI: A Hybrid Deep Model for Fake News Detection
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
Data Quality Network for Spatiotemporal Forecasting
Graph convolutional autoencoder with recurrent neural networks for spatiotemporal forecasting
Representation Learning of Users and Items for Review Rating Prediction Using Attention-based Convolutional Neural Network
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