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BRUBIKE: A Dataset of Bicycle Traffic and Weather Conditions for Predicting Cycling Flow., , , and . ISC2, page 432-437. IEEE, (2019)Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density., , , , , , and . Remote. Sens., 14 (11): 2613 (2022)Context-Aware Deep Markov Random Fields for Fake News Detection., , , , and . IEEE Access, (2021)Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference, , , , , , , and . arXiv preprint arXiv:1811.01662, (2018)Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference., , , , , , and . IEEE Trans. Signal Inf. Process. over Networks, (2022)Spatiotemporal Air Quality Inference of Low-Cost Sensor Data; Application on a Cycling Monitoring Network., , , , , , , and . ICPR Workshops (6), volume 12666 of Lecture Notes in Computer Science, page 139-147. Springer, (2020)Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data., , , , , , , and . IEEE SENSORS, page 1-4. IEEE, (2020)Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization., , , , and . CoRR, (2020)Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization., , , , and . Expert Syst. Appl., (2021)Fake News Detection using Deep Markov Random Fields., , , and . NAACL-HLT (1), page 1391-1400. Association for Computational Linguistics, (2019)