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Found 3 papers, 1 papers with code
Expanding Label Sets for Graph Convolutional Networks
However, these approaches ignore the tendency of the network diffusion methods in biasing proximity with centrality, resulting in the propagation of labels to the nodes that are well-connected in the graph.
Fast Computation of Katz Index for Efficient Processing of Link Prediction Queries
We also show that this acceleration in the computation of Katz index can be used to drastically improve the efficiency of processing link prediction queries in very large networks.
Graph Convolutional Networks Meet with High Dimensionality Reduction
While the GCNs have been successfully applied to this problem, some caveats inherited from classical deep learning still remain as open research topics in the context of the node classification problem.
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