
Temporal Collaborative Filtering with Graph Convolutional Neural Networks
Temporal collaborative filtering (TCF) methods aim at modelling nonstat...
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Modeling and Analysis of Dynamic Charging for EVs: A Stochastic Geometry Approach
With the increasing demand for greener and more energy efficient transpo...
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Graph Convolutional Neural Networks with Node Transition Probabilitybased Message Passing and DropNode Regularization
Graph convolutional neural networks (GCNNs) have received much attention...
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Rumour Detection via News Propagation Dynamics and User Representation Learning
Rumours have existed for a long time and have been known for serious con...
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Geometric Matrix Completion with Deep Conditional Random Fields
The problem of completing highdimensional matrices from a limited set o...
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Matrix Factorization via Deep Learning
Matrix completion is one of the key problems in signal processing and ma...
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Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference
Inferring air quality from a limited number of observations is an essent...
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Regularizing AutoencoderBased Matrix Completion Models via Manifold Learning
Autoencoders are popular among neuralnetworkbased matrix completion mo...
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Extendable Neural Matrix Completion
Matrix completion is one of the key problems in signal processing and ma...
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Twitter User Geolocation using Deep Multiview Learning
Predicting the geographical location of users on social networks like Tw...
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Multiview Deep Learning for Predicting Twitter Users' Location
The problem of predicting the location of users on large social networks...
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Deep Learning Sparse Ternary Projections for Compressed Sensing of Images
Compressed sensing (CS) is a sampling theory that allows reconstruction ...
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Duc Minh Nguyen
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