Abstract: Short-term forecasting of passenger flow is critical for transit management and crowd regulation. Spatial dependencies, temporal dependencies, inter-station correlations driven by other ...
This is a TensorFlow implementation of Graph Convolutional Networks for the task of (semi-supervised) classification of nodes in a graph, as described in our paper: Thomas N. Kipf, Max Welling, ...
Codes for the paper titled "Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs", published in Proceedings of the 38th Annual Conference on Neural Information ...
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