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Fig 1.

Overview of deep learning model for prediction of future growth potential.

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Fig 2.

Construction of training and prediction datasets.

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Fig 3.

Motif distribution examples detected in various fields of network [23].

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Fig 4.

Motifs used to embed citation network.

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Fig 5.

Optimal deep learning structure for prediction of future growth potential of technology clusters.

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Table 1.

Performance of prediction models.

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Fig 6.

Similarity-based mapping of all technology clusters.

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Fig 7.

Abstract-based mapping of all technology clusters.

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Fig 8.

Technology clusters with high growth potential (purple nodes).

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Fig 9.

Five fields’ technology clusters: Ratio of number of field’s clusters to total clusters (red color); Ratio of number of field’s clusters to clusters predicted to have high growth potential (blue color).

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Fig 10.

Keyword mapping of technology clusters with high growth potential.

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Fig 11.

Comparison of growth rate distribution of technology clusters with and without high growth potential over all periods.

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Fig 12.

Comparison of growth rate distribution of technology clusters with and without high growth potential over last 5 years.

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Table 2.

Performance of deep learning-based prediction model.

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