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We propose CGAME, short for cyclic graph attentive matching encoder, including bi-directional encoder-decoder networks and a novel graph matcher in the hidden layer with double-layer attention mechanism ... As a powerful nonlinear approximator, deep learning is an ideal data-driven method to provide a novel perspective for OD estimation. ... To this end, we propose a novel neural network architecture, Cyclic Graph Attentive Matching Encoder (CGAME), bi-directional "Encoder-Decoder" networks coupled in embedding space with an attention mechanism ...arXiv:2111.14625v4 fatcat:hszf6bpfqbfj5crshin6qnz3li