GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting

Carlos Salort Sánchez, Alexander Wieder, Paolo Sottovia, Stefano Bortoli, Jan Baumbach, Cristian Axenie. GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting. In Vincent Lemaire 0001, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim, editors, Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers. Volume 12588 of Lecture Notes in Computer Science, pages 63-76, Springer, 2020. [doi]

@inproceedings{SanchezWSBBA20,
  title = {GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting},
  author = {Carlos Salort Sánchez and Alexander Wieder and Paolo Sottovia and Stefano Bortoli and Jan Baumbach and Cristian Axenie},
  year = {2020},
  doi = {10.1007/978-3-030-65742-0_5},
  url = {https://doi.org/10.1007/978-3-030-65742-0_5},
  researchr = {https://researchr.org/publication/SanchezWSBBA20},
  cites = {0},
  citedby = {0},
  pages = {63-76},
  booktitle = {Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers},
  editor = {Vincent Lemaire 0001 and Simon Malinowski and Anthony J. Bagnall and Thomas Guyet and Romain Tavenard and Georgiana Ifrim},
  volume = {12588},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-65742-0},
}