A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Thanks to graph neural networks (GNN) which has great ability to correlate different entities to enrich information, we propose Gaia, a graph neural network (GNN) model with temporal shift aware attention ... In order to store the goods efficiently and arrange the marketing resource properly, it is important for them to make the accurate gross merchandise value (GMV) prediction. ... We hereby propose Gaia, a Graph Neural Network with Tempoal Shift aware Attention. ...arXiv:2207.13329v1 fatcat:phinjvccfbb3xlrrdze6lxktkm
The motivation for this thesis has been the advancement of developing countries, particularly in Latin America and specifically in Colombia, the mother country of the author. ... Computational Intelligence is implemented to demonstrate its use with a systemic-driven, data-driven and knowledge-driven perspective of the modelling problem. ... Acknowledgements Foremost, I would like to thank my beloved husband and my little beeper for supporting me ...doi:10.25949/19441517 fatcat:6nhzzaaairgrxojn7mmegqjlui
Such a shift could lead, at least in the case of our example, to insights about the economic concept of gross national product (GNP). ... Here we turned our attention from the good as terminal value, to the originating value that ddermines the terminal value. ... value-judgments. ...doi:10.20381/ruor-8661 fatcat:oudn6kqsbrainmqjw2bzoii6q4