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Tree Decomposed Graph Neural Network
[article]
2021
arXiv
pre-print
Graph Neural Networks (GNNs) have achieved significant success in learning better representations by performing feature propagation and transformation iteratively to leverage neighborhood information. Nevertheless, iterative propagation restricts the information of higher-layer neighborhoods to be transported through and fused with the lower-layer neighborhoods', which unavoidably results in feature smoothing between neighborhoods in different layers and can thus compromise the performance,
arXiv:2108.11022v1
fatcat:5vnekq7t7zh2bkdrulg2zfgq6m