Random walk visit and length statistics, especially from self-avoiding walks, classify diverse network datasets more accurately than several established feature extraction baselines.
Complex network classification with convolutional neural network
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Network classification through random walks
Random walk visit and length statistics, especially from self-avoiding walks, classify diverse network datasets more accurately than several established feature extraction baselines.