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graph-unet-traffic-prediction
graph-unet-traffic-prediction PublicHybrid UNet model for traffic prediction from traffic movies. The hybrid graph operation is a mixture of CNN and GNN operations to capture pixel topology and improve spatial generalization.
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lightweight-motion-forecasting
lightweight-motion-forecasting PublicA lightweight graph-convolutional model for skeletal human motion forecasting on the Human3.6M (H3.6M) dataset.
Python 4
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Code to compute label informativenes...
Code to compute label informativeness given an edge index and node labels as proposed by Platonov et al. (2022) Characterizing Graph Datasets for Node Classification: Beyond Homophily-Heterophily Dichotomy 1from scipy.stats import entropy
2import numpy as np
34def label_informativeness(edge_index, labels):
5'''
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