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Found 3 papers, 1 papers with code
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery
However, most self-supervised graph neural networks only use adjacency matrix as the input topology information of graph and cannot obtain too high-order information since the number of layers of graph neural network is fairly limited.
Rough extreme learning machine: a new classification method based on uncertainty measure
Extreme learning machine (ELM) is a new single hidden layer feedback neural network.
An Ensemble Classification Algorithm Based on Information Entropy for Data Streams
Information entropy is an important and effective method for measuring uncertainty.
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